The increased accessibility of social networking services(SNSs)has facilitated communication and information sharing among users.However,it has also heightened concerns about digital safety,particularly for children a...The increased accessibility of social networking services(SNSs)has facilitated communication and information sharing among users.However,it has also heightened concerns about digital safety,particularly for children and adolescents who are increasingly exposed to online grooming crimes.Early and accurate identification of grooming conversations is crucial in preventing long-term harm to victims.However,research on grooming detection in South Korea remains limited,as existing models trained primarily on English text and fail to reflect the unique linguistic features of SNS conversations,leading to inaccurate classifications.To address these issues,this study proposes a novel framework that integrates optical character recognition(OCR)technology with KcELECTRA,a deep learning-based natural language processing(NLP)model that shows excellent performance in processing the colloquial Korean language.In the proposed framework,the KcELECTRA model is fine-tuned by an extensive dataset,including Korean social media conversations,Korean ethical verification data from AI-Hub,and Korean hate speech data from Hug-gingFace,to enable more accurate classification of text extracted from social media conversation images.Experimental results show that the proposed framework achieves an accuracy of 0.953,outperforming existing transformer-based models.Furthermore,OCR technology shows high accuracy in extracting text from images,demonstrating that the proposed framework is effective for online grooming detection.The proposed framework is expected to contribute to the more accurate detection of grooming text and the prevention of grooming-related crimes.展开更多
Although today’s users of mobile phones are afforded increasing control as the popularity and richness of information provided by smartphones increases, how these users make choices and evaluations cannot be explicit...Although today’s users of mobile phones are afforded increasing control as the popularity and richness of information provided by smartphones increases, how these users make choices and evaluations cannot be explicitly expressed. This study uses an acute observation of designers of technology and aesthetics to conduct a mental-model analysis of smartphones with the purpose of explicitly identifying the differences in the schemas of users. This study also modifies the mental model to evaluate the practicability of the mental model. Hence, this study investigates groups of subjects, comparing freshmen and graduating students froma college of design, and adopts a schematized data collection and analysis approach, Interactive Qualitative Analysis (IQA), to ascertain the relationships between factors and establish a complete user mental model. The study results present 11 primary affinity factors: “Pricing,” “Advertisement,” “User Interface,” “Innovation Functions,” “System Maintenance,” “Privacy,” “Utility Functions,” “Personalization,” “Network Performance,” “Customer Service,” and “Multimedia Contents.” The primary driver in evaluating smartphones is found to be “Pricing” for graduating students and “Privacy” for freshmen. The two groups share the same final effect factor, “Multimedia Contents.” This study has successfully identified differences between the different mental models of the two groups, supporting the method that using IQA to perform a quality evaluation of social networking for smartphones is effective. Consequently, platform developers can understand user demand through a mental model and can design good platform functions to effectively improve users’ experience of smartphones.展开更多
This paper aims to introduce the novel concept of neutrosophic crisp soft set(NCSS),including various types of neutrosophic crisp soft sets(NCSSs)and their fundamental operations.We define NCS-mapping and its inverse ...This paper aims to introduce the novel concept of neutrosophic crisp soft set(NCSS),including various types of neutrosophic crisp soft sets(NCSSs)and their fundamental operations.We define NCS-mapping and its inverse NCS-mapping between two NCS-classes.We develop a robust mathematical modeling with the help of NCS-mapping to analyze the emerging trends in social networking systems(SNSs)for our various generations.We investigate the advantages,disadvantages,and natural aspects of SNSs for five generations.With the changing of the generations,it is analyzed that emerging trends and the benefits of SNSs are increasing day by day.The suggested modeling with NCS-mapping is applicable in solving various decision-making problems.展开更多
Background:During the early stages of the COVID-19 pandemic in China,social interactions shifted to online spaces due to lockdowns and social distancing measures.As a result,the impact of online social networking on u...Background:During the early stages of the COVID-19 pandemic in China,social interactions shifted to online spaces due to lockdowns and social distancing measures.As a result,the impact of online social networking on users’emotional status has become stronger than ever.This study examines the association between online social networking and Internet users’emotional status and how offline reality affects this relationship.Methods:The study utilizes cross-sectional online survey data(n=3004)and Baidu Migration big data from the first 3 months of the pandemic.Two dimensions of online networking are measured:social support and information sources.Results:First,individuals’online social support(β=0.16,p<0.05)and information sources(β=0.08,p<0.01)are both positively associated to their emotional status during the epidemic.Second,these positive associations are moderated by social status and provincial pandemic control interventions.With regards to the moderation effect of social status,the constructive impact of information sources on emotional well-being is more pronounced among individuals from vulnerable groups compared to those who are not.With regard to the moderation effect of provincial interventions,online social support has the potential to alleviate the adverse repercussions of high rates of confirmed COVID-19 cases and strict lockdown measures while simultaneously augmenting the favorable effects of recovery.Conclusion:The various dimensions of social networking exert distinct effects on emotional status through diverse mechanisms,all of which must be taken into account when designing and adapting pandemic-control interventions.展开更多
This study examines why some social networking sites （SNSs） stagnate while other SNSs grow by comparing Cyworld with Facebook. Cyworld was one of the most successful SNSs in the world, but its international expansio...This study examines why some social networking sites （SNSs） stagnate while other SNSs grow by comparing Cyworld with Facebook. Cyworld was one of the most successful SNSs in the world, but its international expansion efforts failed. Facebook＇s open technology has had considerable influence on various sectors of the economy and society and allowed it to become a dominant SNS at the global level, whereas Cyworld has remained a local SNS. Facebook＇s open platform and application programming interface （API） pose a serious challenge to Cyworld＇s walled-garden approach. Cyworld is based on strong ties fostering close relationships, whereas Facebook expands social networks through its open and weak ties and has more network power than Cyworld. Therefore, openness is the main reason behind the rise of Facebook and the fall of Cyworld.展开更多
Internet based social-networking sites like Facebook are highly attractive, user-friendly, and increasingly popular. Current estimates indicate over 750 million users of Facebook alone. However, Internet addiction is ...Internet based social-networking sites like Facebook are highly attractive, user-friendly, and increasingly popular. Current estimates indicate over 750 million users of Facebook alone. However, Internet addiction is an increasing problem amongst today＇s youth and as yet, is understudied in the United States. This study looked at the relationship between this new social-networking tool and the increasing phenomenon of internet addiction symptoms using both a US college sample （age 19years） and a US high-school sample （age 14years）. Findings indicate that SNS （Social Networking Site） activity maybe more predictive of addictive behaviors than general internet use and that higher percents of symptomology occur in those users reporting SNS activity as their primary internet activity.展开更多
Purpose: In the Web 2.0 era,leveraging the collective power of user knowledge contributions has become an important part of the study of collective intelligence. This research aims to investigate the factors which inf...Purpose: In the Web 2.0 era,leveraging the collective power of user knowledge contributions has become an important part of the study of collective intelligence. This research aims to investigate the factors which influence knowledge contribution behavior of social networking sites(SNS) users.Design/methodology/approach: The data were obtained from an online survey of 251 social networking sites users. Structural equation modeling analysis was used to validate the proposed model.Findings: Our survey shows that the individuals' motivation for knowledge contribution,their capability of contributing knowledge,interpersonal trust and their own habits positively influence their knowledge contribution behavior,but reward does not significantly influence knowledge contribution in the online virtual community.Research limitations: Respondents of our online survey are mainly undergraduate and graduate students. A limited sample group cannot represent all of the population. A larger survey involving more SNS users may be useful.Practical implications: The results have provided some theoretical basis for promoting knowledge contribution and user viscosity.Originality/value: Few studies have investigated the impact of social influence and user habits on knowledge contribution behavior of SNS users. This study can make a theoretical contribution by examining how the social influence processes and habits affect one's knowledge contribution behavior using online communities.展开更多
Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college student...Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college students on Renren.com,a popular college-oriented social networking site in China.Users’ privacy disclosure behaviors were studied and gender difference was analyzed particularly.Correlation analysis was conducted to examine the relationships among evaluation indicators involving user name,image,page visibility,message board visibility,completeness of education information and provision of personal information.Findings:A large amount of personal information was disclosed via social networking sites in China.Greater percentage of male users than female users disclosed their personal information.Furthermore,significantly positive relationships were found among page visibility,message board visibility,completeness of education information and provision of personal information.Research limitations:Subjects were collected from only one social networking website.Meanwhile,our survey involves subjective judgments of user name reliability,category of profile images and completeness of information.Practical implications:This study will be of benefit for college administrators,teachers and librarians to design courses for college students on how to use social networking sites safely.Originality /value:This empirical study is one of the first studies to reveal the current situation of privacy disclosure in the Chinese social networking sites and will help the research community gain a deeper understanding of privacy disclosure in the Chinese social networking sites.展开更多
With the vast advancements in Information Technology,the emergence of Online Social Networking(OSN)has also hit its peak and captured the atten-tion of the young generation people.The clone intends to replicate the us...With the vast advancements in Information Technology,the emergence of Online Social Networking(OSN)has also hit its peak and captured the atten-tion of the young generation people.The clone intends to replicate the users and inject massive malicious activities that pose a crucial security threat to the original user.However,the attackers also target this height of OSN utilization,explicitly creating the clones of the user’s account.Various clone detection mechanisms are designed based on social-network activities.For instance,monitoring the occur-rence of clone edges is done to restrict the generation of clone activities.However,this assumption is unsuitable for a real-time environment and works optimally during the simulation process.This research concentrates on modeling and effi-cient clone prediction and avoidance methods to help the social network activists and the victims enhance the clone prediction accuracy.This model does not rely on assumptions.Here,an ensemble Adaptive Random Subspace is used for clas-sifying the clone victims with k-Nearest Neighbour(k-NN)as a base classifier.The weighted clone nodes are analysed using the weighted graph theory concept based on the classified results.When the weighted node’s threshold value is high-er,the trust establishment is terminated,and the clones are ranked and sorted in the higher place for termination.Thus,the victims are alert to the clone propaga-tion over the online social networking end,and the validation is done using the MATLAB 2020a simulation environment.The model shows a better trade-off than existing approaches like Random Forest(RF),Naïve Bayes(NB),and the standard graph model.Various performance metrics like True Positive Rate(TPR),False Alarm Rate(FAR),Recall,Precision,F-measure,and ROC and run time analysis are evaluated to show the significance of the model.展开更多
A number of mobile Online Social Networking （OSN） services have appeared in the market in recent times. While most mobile systems benefit greatly from cloud services, centralized servers and communications infrastru...A number of mobile Online Social Networking （OSN） services have appeared in the market in recent times. While most mobile systems benefit greatly from cloud services, centralized servers and communications infrastructure is not always available. Nor are location-based services offered to mobile devices without GPS. To take advantage of cloud and to address these problems, a Wi-Fi based multihop networking system called MoNet is proposed. On top of MONET we propose a privacy-aware geosocial networking service called WiFace. Where there is no infrastructure, a distributed content sharing protocol significantly shortens the relay path, reduces conflicts, and improves data availability. Furthermore, a security mechanism is developed to protect privacy. Comprehensive experiments performed on MoNet show that the system is more than sufficient to support social networking and even audio and video applications.展开更多
The study, throughout the usage of Emirati youth for the social networking sites and satisfactions achieved, illustrated that the nature of those networks is considered a rapidly developing method of communication, wh...The study, throughout the usage of Emirati youth for the social networking sites and satisfactions achieved, illustrated that the nature of those networks is considered a rapidly developing method of communication, which is accompanied by attempts to impose a number of short abbreviated vocabulary to be used among the youth. Since social networking sites represent one of the most significant tremendous development aspects of information technology, which reached its peak during the last decade, the researcher considered the importance of conducting this study in order to know the impact of social networking sites on the youth through Intemet, blogs and chat rooms, as well as attempting to confront them and making them aware of their importance in their daily lives. Accordingly, the study has focused on a random category of youth, whose ages are ranging between 17-21 years old of university students, as being the highest category of usage. Results revealed the following： A high percentage of Emirati youth 77.5% mentioned that they ＂always＂ use those sites; the percentage of males, who ＂always＂ use social media reached 38.5% while the percentage of females reached 61, since the meaningful value reached 0.05〉0.044, which indicated that WhatsApp, YouTube, Twitter and Facebook are the most commonly used social media by the study individuals. Most of the study individuals use the social networking sites daily 84%, and there are statistically significant differences between males and females in terms of the times of using social media. A high percentage of the Emirati youth uses Internet for more than three hours daily; especially in the evenings, and there are not statistically significant differences between males and females in terms of the most common periods in which social media are used, and the most common age groups of using social media from one year and more range between 17-20. ＂Home＂ is the most favorite place of using social media （85.40% mentioned that）. Most of the study individuals can make a balance between spending time on Internet and spending time with people outside the world of Internet. The percentage of those, who mentioned that social networking sites affected them positively, was higher than the percentage of the ones, who mentioned that the social media affected them negatively. Among the most prominent usages of social media by the Emirati youth are： staying informed about news and current events, while most of them focused on chatting, followed by sharing photos and images. Most of the sample of study mentioned that the youth are just readers, who comment on what is shared and posted on the social media. The most prominent motives of the Emirati youth for using social media are represented in obtaining information, and communicating with others, which came on top of the motives relevant to the usage of social media, followed by entertainment, education, followed by various motives, including routine etc. Some of the most significant satisfactions achieved through using the social networking sites by the Emirati youth are entertainment and spending leisure time with others.展开更多
Literature on innovation has identified specific innovation patterns under scarcity conditions.This research investigates organizational and business environment factors that could be predictors of Jugaad-driven innov...Literature on innovation has identified specific innovation patterns under scarcity conditions.This research investigates organizational and business environment factors that could be predictors of Jugaad-driven innovation to gain insight into the mechanisms of how resource-constrained firms can innovate following an informally recognized innovation paradigm.In particular,we explore the drivers of self-constructed innovation-a form of Jugaad-driven innovation among small and medium enterprises(SMEs)in resource-constrained environments in developing countries.Using quantitative analysis of 2929 Vietnamese SMEs,we investigate how resource scarcities,social networking,and absorptive capacity influence the emergence of self-constructed innovation.Our findings reveal that weak infrastructure plays a significant role in triggering self-constructed innovation,whereas capital and human resource constraints do not show a significant effect.Additionally,we find that strong social networking and higher absorptive capacity enhance SMEs’ability to access external knowledge and develop self-constructed innovations.The study also highlights that self-constructed innovation primarily emerges as a cost-effective,non-R&D alternative for firms facing resource limitations,reinforcing its strong connection with bricolage and frugal innovation.By examining the combined influence of external knowledge sources and internal capabilities,this study contributes to the literature on non-R&D innovation management,in particular Jugaad innovation and responds to the call for further research on innovation networks in developing economies.The findings offer valuable insights for policymakers and managers seeking to support SME innovation under resource constraints.展开更多
The rapid development of the internet has led to the rise of social networking sites,which have impacted the psychological health and social adaptation of college students.Existing research shows that the intensity an...The rapid development of the internet has led to the rise of social networking sites,which have impacted the psychological health and social adaptation of college students.Existing research shows that the intensity and patterns of social networking site use are closely related to adolescents’core self-evaluations,with perceived social support playing a mediating role in this relationship.This study,based on a questionnaire survey of 231 college students with an average age of 19.5,reveals the intrinsic connection between social networking site use and core self-evaluations.The findings indicate that the intensity and pattern of use significantly affect self-evaluations,and perceived social support partially mediates this relationship.展开更多
The rapid growth of the usage of social networking sites over the past few years has drawn attention to research about their various effects on the cognition and personality of individuals.Much research has been condu...The rapid growth of the usage of social networking sites over the past few years has drawn attention to research about their various effects on the cognition and personality of individuals.Much research has been conducted to determine how habitual usage leads to addiction and has a tremendous impact on academic performance,self-identity,social behaviour,body image,and interpersonal relationships.The purpose of this study is to evaluate the global scientific production on social networking sites in the field of psychology using bibliometric analysis.Herein,this study aimed to summarize the current characteristics,explore research trends,and identify potential future directions.Bibliometric analysis was conducted on 2444 documents retrieved from the Scopus database between 2013 and 2023.Performance analysis and science mapping were conducted using Biblioshiny and VOSviewer.The findings highlight publication patterns,including the most frequently cited articles,influential authors,countries,and most productive journals.Science mapping using co-citations and keyword co-occurrence revealed the intellectual structure of the field of social networking sites.The construction of the network map revealed interesting patterns and themes.The study contributes to a better understanding of the evolution and current state of the research on social networking sites globally.展开更多
Identifying the community structure of complex networks is crucial to extracting insights and understanding network properties.Although several community detection methods have been proposed,many are unsuitable for so...Identifying the community structure of complex networks is crucial to extracting insights and understanding network properties.Although several community detection methods have been proposed,many are unsuitable for social networks due to significant limitations.Specifically,most approaches depend mainly on user-user structural links while overlooking service-centric,semantic,and multi-attribute drivers of community formation,and they also lack flexible filtering mechanisms for large-scale,service-oriented settings.Our proposed approach,called community discovery-based service(CDBS),leverages user profiles and their interactions with consulted web services.The method introduces a novel similarity measure,global similarity interaction profile(GSIP),which goes beyond typical similarity measures by unifying user and service profiles for all attributes types into a coherent representation,thereby clarifying its novelty and contribution.It applies multiple filtering criteria related to user attributes,accessed services,and interaction patterns.Experimental comparisons against Louvain,Hierarchical Agglomerative Clustering,Label Propagation and Infomap show that CDBS reveals the higher performance as it achieves 0.74 modularity,0.13 conductance,0.77 coverage,and significantly fast response time of 9.8 s,even with 10,000 users and 400 services.Moreover,community discoverybased service consistently detects a larger number of communities with distinct topics of interest,underscoring its capacity to generate detailed and efficient structures in complex networks.These results confirm both the efficiency and effectiveness of the proposed method.Beyond controlled evaluation,communities discovery based service is applicable to targeted recommendations,group-oriented marketing,access control,and service personalization,where communities are shaped not only by user links but also by service engagement.展开更多
The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation...The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation and evolution of Meizhou pomelo industry cluster in China,focusing on its role in restructuring rural socio-economic systems and integrating the whole value chains.Based on a case study employing qualitative methods such as in-depth interviews and participatory observation,the agricultural cluster evolution of Meizhou pomelo was categorized into three key phases of initial decentralization,self-organized scaling,and reorganized clustering.Geographical proximity and industrial agglomeration constitute the physical foundation,while vertical/horizontal linkages,technologic-al innovation,and policy support enhance competitiveness.Special mechanisms emerge through localized social networks,farmer co-operatives’activation,and cross-regional market expansion.The cluster’s impact is manifested in the shift from extensive to standard-ized and modernized production,diversified and flexible livelihood of farmers,and the integration of agriculture with industry and ser-vices.The development of the whole value chain based on agricultural cluster represents a critical pathway for achieving agricultural modernization,encompassing both internal and external value chain optimization.Through quality assurance systems,product diversi-fication strategies,operational efficiency improvements,and brand enhancement,these clusters amplify product value propositions and market competitiveness.This systemic approach facilitates supply-demand coordination,enables resource synergies,and optimizes eco-nomic returns across the horizontal and vertical value chain.This paper argues that agricultural clusters serve as strategic catalysts for sustainable rural development by reconstructing local production systems,fostering innovation ecosystems,and aligning agricultural modernization.It contributes to debates on rural vitalization by demonstrating how agricultural clustering can reconfigure rural areas as hubs of ecological modernization,rather than mere urban peripheries.展开更多
Graph neural networks(GNN)have shown strong performance in node classification tasks,yet most existing models rely on uniform or shared weight aggregation,lacking flexibility in modeling the varying strength of relati...Graph neural networks(GNN)have shown strong performance in node classification tasks,yet most existing models rely on uniform or shared weight aggregation,lacking flexibility in modeling the varying strength of relationships among nodes.This paper proposes a novel graph coupling convolutional model that introduces an adaptive weighting mechanism to assign distinct importance to neighboring nodes based on their similarity to the central node.Unlike traditional methods,the proposed coupling strategy enhances the interpretability of node interactions while maintaining competitive classification performance.The model operates in the spatial domain,utilizing adjacency list structures for efficient convolution and addressing the limitations of weight sharing through a coupling-based similarity computation.Extensive experiments are conducted on five graph-structured datasets,including Cora,Citeseer,PubMed,Reddit,and BlogCatalog,as well as a custom topology dataset constructed from the Open University Learning Analytics Dataset(OULAD)educational platform.Results demonstrate that the proposed model achieves good classification accuracy,while significantly reducing training time through direct second-order neighbor fusion and data preprocessing.Moreover,analysis of neighborhood order reveals that considering third-order neighbors offers limited accuracy gains but introduces considerable computational overhead,confirming the efficiency of first-and second-order convolution in practical applications.Overall,the proposed graph coupling model offers a lightweight,interpretable,and effective framework for multi-label node classification in complex networks.展开更多
Based on an ethnographic study on two cohorts of teachers and parents in China,this article reveals that social networking sites(SNS)have widened the channel for parents and teachers to establish and maintain a relati...Based on an ethnographic study on two cohorts of teachers and parents in China,this article reveals that social networking sites(SNS)have widened the channel for parents and teachers to establish and maintain a relationship,and has formed an online“community of practice”to promote such collaborations.Yet,this could be accomplished only at the expense of teachers’professional and personal boundaries becoming increasingly blurred,which has emerged as a potential risk for their professionalism.Moreover,such a“community of practice”has also opened up a new space for winning or losing at the educational game for parents from different background,which has inadvertently led to widening the arena for the operation of old mechanisms of social inequality.This study suggests that further investigation should be conducted to examine the potential of SNS in the parent−teacher relationship.展开更多
基金supported by the IITP(Institute of Information&Communications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korean government(Ministry of Science and ICT)(IITP-2025-RS-2024-00438056).
文摘The increased accessibility of social networking services(SNSs)has facilitated communication and information sharing among users.However,it has also heightened concerns about digital safety,particularly for children and adolescents who are increasingly exposed to online grooming crimes.Early and accurate identification of grooming conversations is crucial in preventing long-term harm to victims.However,research on grooming detection in South Korea remains limited,as existing models trained primarily on English text and fail to reflect the unique linguistic features of SNS conversations,leading to inaccurate classifications.To address these issues,this study proposes a novel framework that integrates optical character recognition(OCR)technology with KcELECTRA,a deep learning-based natural language processing(NLP)model that shows excellent performance in processing the colloquial Korean language.In the proposed framework,the KcELECTRA model is fine-tuned by an extensive dataset,including Korean social media conversations,Korean ethical verification data from AI-Hub,and Korean hate speech data from Hug-gingFace,to enable more accurate classification of text extracted from social media conversation images.Experimental results show that the proposed framework achieves an accuracy of 0.953,outperforming existing transformer-based models.Furthermore,OCR technology shows high accuracy in extracting text from images,demonstrating that the proposed framework is effective for online grooming detection.The proposed framework is expected to contribute to the more accurate detection of grooming text and the prevention of grooming-related crimes.
文摘Although today’s users of mobile phones are afforded increasing control as the popularity and richness of information provided by smartphones increases, how these users make choices and evaluations cannot be explicitly expressed. This study uses an acute observation of designers of technology and aesthetics to conduct a mental-model analysis of smartphones with the purpose of explicitly identifying the differences in the schemas of users. This study also modifies the mental model to evaluate the practicability of the mental model. Hence, this study investigates groups of subjects, comparing freshmen and graduating students froma college of design, and adopts a schematized data collection and analysis approach, Interactive Qualitative Analysis (IQA), to ascertain the relationships between factors and establish a complete user mental model. The study results present 11 primary affinity factors: “Pricing,” “Advertisement,” “User Interface,” “Innovation Functions,” “System Maintenance,” “Privacy,” “Utility Functions,” “Personalization,” “Network Performance,” “Customer Service,” and “Multimedia Contents.” The primary driver in evaluating smartphones is found to be “Pricing” for graduating students and “Privacy” for freshmen. The two groups share the same final effect factor, “Multimedia Contents.” This study has successfully identified differences between the different mental models of the two groups, supporting the method that using IQA to perform a quality evaluation of social networking for smartphones is effective. Consequently, platform developers can understand user demand through a mental model and can design good platform functions to effectively improve users’ experience of smartphones.
基金the Deanship of Scientific Research at King Khalid University for funding this work through General Research Project under Grant No.R.G.P.2/181/44.
文摘This paper aims to introduce the novel concept of neutrosophic crisp soft set(NCSS),including various types of neutrosophic crisp soft sets(NCSSs)and their fundamental operations.We define NCS-mapping and its inverse NCS-mapping between two NCS-classes.We develop a robust mathematical modeling with the help of NCS-mapping to analyze the emerging trends in social networking systems(SNSs)for our various generations.We investigate the advantages,disadvantages,and natural aspects of SNSs for five generations.With the changing of the generations,it is analyzed that emerging trends and the benefits of SNSs are increasing day by day.The suggested modeling with NCS-mapping is applicable in solving various decision-making problems.
基金This research was funded by“the Fundamental Research Funds for the Central Universities,Grant Number XJSJ23180”,https://www.xidian.edu.cn/index.htmand“Shaanxi Province Philosophy and Social Science Research Project,Grant Number 2023QN0046”,http://www.sxsskw.org.cn/.
文摘Background:During the early stages of the COVID-19 pandemic in China,social interactions shifted to online spaces due to lockdowns and social distancing measures.As a result,the impact of online social networking on users’emotional status has become stronger than ever.This study examines the association between online social networking and Internet users’emotional status and how offline reality affects this relationship.Methods:The study utilizes cross-sectional online survey data(n=3004)and Baidu Migration big data from the first 3 months of the pandemic.Two dimensions of online networking are measured:social support and information sources.Results:First,individuals’online social support(β=0.16,p<0.05)and information sources(β=0.08,p<0.01)are both positively associated to their emotional status during the epidemic.Second,these positive associations are moderated by social status and provincial pandemic control interventions.With regards to the moderation effect of social status,the constructive impact of information sources on emotional well-being is more pronounced among individuals from vulnerable groups compared to those who are not.With regard to the moderation effect of provincial interventions,online social support has the potential to alleviate the adverse repercussions of high rates of confirmed COVID-19 cases and strict lockdown measures while simultaneously augmenting the favorable effects of recovery.Conclusion:The various dimensions of social networking exert distinct effects on emotional status through diverse mechanisms,all of which must be taken into account when designing and adapting pandemic-control interventions.
文摘This study examines why some social networking sites （SNSs） stagnate while other SNSs grow by comparing Cyworld with Facebook. Cyworld was one of the most successful SNSs in the world, but its international expansion efforts failed. Facebook＇s open technology has had considerable influence on various sectors of the economy and society and allowed it to become a dominant SNS at the global level, whereas Cyworld has remained a local SNS. Facebook＇s open platform and application programming interface （API） pose a serious challenge to Cyworld＇s walled-garden approach. Cyworld is based on strong ties fostering close relationships, whereas Facebook expands social networks through its open and weak ties and has more network power than Cyworld. Therefore, openness is the main reason behind the rise of Facebook and the fall of Cyworld.
文摘Internet based social-networking sites like Facebook are highly attractive, user-friendly, and increasingly popular. Current estimates indicate over 750 million users of Facebook alone. However, Internet addiction is an increasing problem amongst today＇s youth and as yet, is understudied in the United States. This study looked at the relationship between this new social-networking tool and the increasing phenomenon of internet addiction symptoms using both a US college sample （age 19years） and a US high-school sample （age 14years）. Findings indicate that SNS （Social Networking Site） activity maybe more predictive of addictive behaviors than general internet use and that higher percents of symptomology occur in those users reporting SNS activity as their primary internet activity.
基金supported by the National Social Science Foundation of China(Grant Nos.:10CTQ010 and 11CTQ038)Wuhan University Development Program for Researchers Born after the 1970s
文摘Purpose: In the Web 2.0 era,leveraging the collective power of user knowledge contributions has become an important part of the study of collective intelligence. This research aims to investigate the factors which influence knowledge contribution behavior of social networking sites(SNS) users.Design/methodology/approach: The data were obtained from an online survey of 251 social networking sites users. Structural equation modeling analysis was used to validate the proposed model.Findings: Our survey shows that the individuals' motivation for knowledge contribution,their capability of contributing knowledge,interpersonal trust and their own habits positively influence their knowledge contribution behavior,but reward does not significantly influence knowledge contribution in the online virtual community.Research limitations: Respondents of our online survey are mainly undergraduate and graduate students. A limited sample group cannot represent all of the population. A larger survey involving more SNS users may be useful.Practical implications: The results have provided some theoretical basis for promoting knowledge contribution and user viscosity.Originality/value: Few studies have investigated the impact of social influence and user habits on knowledge contribution behavior of SNS users. This study can make a theoretical contribution by examining how the social influence processes and habits affect one's knowledge contribution behavior using online communities.
基金supported by the National Social Science Foundation of China(Grant No.:10ATQ004)
文摘Purpose:This study was conducted to investigate the current situation of privacy disclosure(in the Chinese social networking sites.Design/methodology/approach:Data analysis was based on profiles of 240 college students on Renren.com,a popular college-oriented social networking site in China.Users’ privacy disclosure behaviors were studied and gender difference was analyzed particularly.Correlation analysis was conducted to examine the relationships among evaluation indicators involving user name,image,page visibility,message board visibility,completeness of education information and provision of personal information.Findings:A large amount of personal information was disclosed via social networking sites in China.Greater percentage of male users than female users disclosed their personal information.Furthermore,significantly positive relationships were found among page visibility,message board visibility,completeness of education information and provision of personal information.Research limitations:Subjects were collected from only one social networking website.Meanwhile,our survey involves subjective judgments of user name reliability,category of profile images and completeness of information.Practical implications:This study will be of benefit for college administrators,teachers and librarians to design courses for college students on how to use social networking sites safely.Originality /value:This empirical study is one of the first studies to reveal the current situation of privacy disclosure in the Chinese social networking sites and will help the research community gain a deeper understanding of privacy disclosure in the Chinese social networking sites.
文摘With the vast advancements in Information Technology,the emergence of Online Social Networking(OSN)has also hit its peak and captured the atten-tion of the young generation people.The clone intends to replicate the users and inject massive malicious activities that pose a crucial security threat to the original user.However,the attackers also target this height of OSN utilization,explicitly creating the clones of the user’s account.Various clone detection mechanisms are designed based on social-network activities.For instance,monitoring the occur-rence of clone edges is done to restrict the generation of clone activities.However,this assumption is unsuitable for a real-time environment and works optimally during the simulation process.This research concentrates on modeling and effi-cient clone prediction and avoidance methods to help the social network activists and the victims enhance the clone prediction accuracy.This model does not rely on assumptions.Here,an ensemble Adaptive Random Subspace is used for clas-sifying the clone victims with k-Nearest Neighbour(k-NN)as a base classifier.The weighted clone nodes are analysed using the weighted graph theory concept based on the classified results.When the weighted node’s threshold value is high-er,the trust establishment is terminated,and the clones are ranked and sorted in the higher place for termination.Thus,the victims are alert to the clone propaga-tion over the online social networking end,and the validation is done using the MATLAB 2020a simulation environment.The model shows a better trade-off than existing approaches like Random Forest(RF),Naïve Bayes(NB),and the standard graph model.Various performance metrics like True Positive Rate(TPR),False Alarm Rate(FAR),Recall,Precision,F-measure,and ROC and run time analysis are evaluated to show the significance of the model.
基金supported by National Natural Science Foundation of China under Grant No. 90818021, and 9071803National Natural Science Foundation of China under Grant No. 60828003+3 种基金supported by Tsinghua National Laboratory for Information Science and Technology(TNList)NSF CNS0832120National Basic Research Program of China ("973"Program) under grant No. 2010CB328100the National High Technology Research and Development Program of China ("863"Program) under grant No. 2007AA01Z180
文摘A number of mobile Online Social Networking （OSN） services have appeared in the market in recent times. While most mobile systems benefit greatly from cloud services, centralized servers and communications infrastructure is not always available. Nor are location-based services offered to mobile devices without GPS. To take advantage of cloud and to address these problems, a Wi-Fi based multihop networking system called MoNet is proposed. On top of MONET we propose a privacy-aware geosocial networking service called WiFace. Where there is no infrastructure, a distributed content sharing protocol significantly shortens the relay path, reduces conflicts, and improves data availability. Furthermore, a security mechanism is developed to protect privacy. Comprehensive experiments performed on MoNet show that the system is more than sufficient to support social networking and even audio and video applications.
文摘The study, throughout the usage of Emirati youth for the social networking sites and satisfactions achieved, illustrated that the nature of those networks is considered a rapidly developing method of communication, which is accompanied by attempts to impose a number of short abbreviated vocabulary to be used among the youth. Since social networking sites represent one of the most significant tremendous development aspects of information technology, which reached its peak during the last decade, the researcher considered the importance of conducting this study in order to know the impact of social networking sites on the youth through Intemet, blogs and chat rooms, as well as attempting to confront them and making them aware of their importance in their daily lives. Accordingly, the study has focused on a random category of youth, whose ages are ranging between 17-21 years old of university students, as being the highest category of usage. Results revealed the following： A high percentage of Emirati youth 77.5% mentioned that they ＂always＂ use those sites; the percentage of males, who ＂always＂ use social media reached 38.5% while the percentage of females reached 61, since the meaningful value reached 0.05〉0.044, which indicated that WhatsApp, YouTube, Twitter and Facebook are the most commonly used social media by the study individuals. Most of the study individuals use the social networking sites daily 84%, and there are statistically significant differences between males and females in terms of the times of using social media. A high percentage of the Emirati youth uses Internet for more than three hours daily; especially in the evenings, and there are not statistically significant differences between males and females in terms of the most common periods in which social media are used, and the most common age groups of using social media from one year and more range between 17-20. ＂Home＂ is the most favorite place of using social media （85.40% mentioned that）. Most of the study individuals can make a balance between spending time on Internet and spending time with people outside the world of Internet. The percentage of those, who mentioned that social networking sites affected them positively, was higher than the percentage of the ones, who mentioned that the social media affected them negatively. Among the most prominent usages of social media by the Emirati youth are： staying informed about news and current events, while most of them focused on chatting, followed by sharing photos and images. Most of the sample of study mentioned that the youth are just readers, who comment on what is shared and posted on the social media. The most prominent motives of the Emirati youth for using social media are represented in obtaining information, and communicating with others, which came on top of the motives relevant to the usage of social media, followed by entertainment, education, followed by various motives, including routine etc. Some of the most significant satisfactions achieved through using the social networking sites by the Emirati youth are entertainment and spending leisure time with others.
文摘Literature on innovation has identified specific innovation patterns under scarcity conditions.This research investigates organizational and business environment factors that could be predictors of Jugaad-driven innovation to gain insight into the mechanisms of how resource-constrained firms can innovate following an informally recognized innovation paradigm.In particular,we explore the drivers of self-constructed innovation-a form of Jugaad-driven innovation among small and medium enterprises(SMEs)in resource-constrained environments in developing countries.Using quantitative analysis of 2929 Vietnamese SMEs,we investigate how resource scarcities,social networking,and absorptive capacity influence the emergence of self-constructed innovation.Our findings reveal that weak infrastructure plays a significant role in triggering self-constructed innovation,whereas capital and human resource constraints do not show a significant effect.Additionally,we find that strong social networking and higher absorptive capacity enhance SMEs’ability to access external knowledge and develop self-constructed innovations.The study also highlights that self-constructed innovation primarily emerges as a cost-effective,non-R&D alternative for firms facing resource limitations,reinforcing its strong connection with bricolage and frugal innovation.By examining the combined influence of external knowledge sources and internal capabilities,this study contributes to the literature on non-R&D innovation management,in particular Jugaad innovation and responds to the call for further research on innovation networks in developing economies.The findings offer valuable insights for policymakers and managers seeking to support SME innovation under resource constraints.
文摘The rapid development of the internet has led to the rise of social networking sites,which have impacted the psychological health and social adaptation of college students.Existing research shows that the intensity and patterns of social networking site use are closely related to adolescents’core self-evaluations,with perceived social support playing a mediating role in this relationship.This study,based on a questionnaire survey of 231 college students with an average age of 19.5,reveals the intrinsic connection between social networking site use and core self-evaluations.The findings indicate that the intensity and pattern of use significantly affect self-evaluations,and perceived social support partially mediates this relationship.
文摘The rapid growth of the usage of social networking sites over the past few years has drawn attention to research about their various effects on the cognition and personality of individuals.Much research has been conducted to determine how habitual usage leads to addiction and has a tremendous impact on academic performance,self-identity,social behaviour,body image,and interpersonal relationships.The purpose of this study is to evaluate the global scientific production on social networking sites in the field of psychology using bibliometric analysis.Herein,this study aimed to summarize the current characteristics,explore research trends,and identify potential future directions.Bibliometric analysis was conducted on 2444 documents retrieved from the Scopus database between 2013 and 2023.Performance analysis and science mapping were conducted using Biblioshiny and VOSviewer.The findings highlight publication patterns,including the most frequently cited articles,influential authors,countries,and most productive journals.Science mapping using co-citations and keyword co-occurrence revealed the intellectual structure of the field of social networking sites.The construction of the network map revealed interesting patterns and themes.The study contributes to a better understanding of the evolution and current state of the research on social networking sites globally.
文摘Identifying the community structure of complex networks is crucial to extracting insights and understanding network properties.Although several community detection methods have been proposed,many are unsuitable for social networks due to significant limitations.Specifically,most approaches depend mainly on user-user structural links while overlooking service-centric,semantic,and multi-attribute drivers of community formation,and they also lack flexible filtering mechanisms for large-scale,service-oriented settings.Our proposed approach,called community discovery-based service(CDBS),leverages user profiles and their interactions with consulted web services.The method introduces a novel similarity measure,global similarity interaction profile(GSIP),which goes beyond typical similarity measures by unifying user and service profiles for all attributes types into a coherent representation,thereby clarifying its novelty and contribution.It applies multiple filtering criteria related to user attributes,accessed services,and interaction patterns.Experimental comparisons against Louvain,Hierarchical Agglomerative Clustering,Label Propagation and Infomap show that CDBS reveals the higher performance as it achieves 0.74 modularity,0.13 conductance,0.77 coverage,and significantly fast response time of 9.8 s,even with 10,000 users and 400 services.Moreover,community discoverybased service consistently detects a larger number of communities with distinct topics of interest,underscoring its capacity to generate detailed and efficient structures in complex networks.These results confirm both the efficiency and effectiveness of the proposed method.Beyond controlled evaluation,communities discovery based service is applicable to targeted recommendations,group-oriented marketing,access control,and service personalization,where communities are shaped not only by user links but also by service engagement.
基金Under the auspices of the Key Projects of Philosophy and Social Sciences Research,Ministry of Education of China(No.23JZD008)National Natural Science Foundation of China(No.42171193)+2 种基金Key Project of Guangdong Provincial Philosophy and Social Sciences Planning(No.GD24ES013,GD25ZX04)2025 Guangzhou Basic and Applied Basic Research Special Project(No.2025A04J7127)Fundamental Research Funds for the Central Universities,Sun Yat-sen University(No.24wkjc11)。
文摘The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation and evolution of Meizhou pomelo industry cluster in China,focusing on its role in restructuring rural socio-economic systems and integrating the whole value chains.Based on a case study employing qualitative methods such as in-depth interviews and participatory observation,the agricultural cluster evolution of Meizhou pomelo was categorized into three key phases of initial decentralization,self-organized scaling,and reorganized clustering.Geographical proximity and industrial agglomeration constitute the physical foundation,while vertical/horizontal linkages,technologic-al innovation,and policy support enhance competitiveness.Special mechanisms emerge through localized social networks,farmer co-operatives’activation,and cross-regional market expansion.The cluster’s impact is manifested in the shift from extensive to standard-ized and modernized production,diversified and flexible livelihood of farmers,and the integration of agriculture with industry and ser-vices.The development of the whole value chain based on agricultural cluster represents a critical pathway for achieving agricultural modernization,encompassing both internal and external value chain optimization.Through quality assurance systems,product diversi-fication strategies,operational efficiency improvements,and brand enhancement,these clusters amplify product value propositions and market competitiveness.This systemic approach facilitates supply-demand coordination,enables resource synergies,and optimizes eco-nomic returns across the horizontal and vertical value chain.This paper argues that agricultural clusters serve as strategic catalysts for sustainable rural development by reconstructing local production systems,fostering innovation ecosystems,and aligning agricultural modernization.It contributes to debates on rural vitalization by demonstrating how agricultural clustering can reconfigure rural areas as hubs of ecological modernization,rather than mere urban peripheries.
基金Support by Sichuan Science and Technology Program[2023YFSY0026,2023YFH0004]Guangzhou Huashang University[2024HSZD01,HS2023JYSZH01].
文摘Graph neural networks(GNN)have shown strong performance in node classification tasks,yet most existing models rely on uniform or shared weight aggregation,lacking flexibility in modeling the varying strength of relationships among nodes.This paper proposes a novel graph coupling convolutional model that introduces an adaptive weighting mechanism to assign distinct importance to neighboring nodes based on their similarity to the central node.Unlike traditional methods,the proposed coupling strategy enhances the interpretability of node interactions while maintaining competitive classification performance.The model operates in the spatial domain,utilizing adjacency list structures for efficient convolution and addressing the limitations of weight sharing through a coupling-based similarity computation.Extensive experiments are conducted on five graph-structured datasets,including Cora,Citeseer,PubMed,Reddit,and BlogCatalog,as well as a custom topology dataset constructed from the Open University Learning Analytics Dataset(OULAD)educational platform.Results demonstrate that the proposed model achieves good classification accuracy,while significantly reducing training time through direct second-order neighbor fusion and data preprocessing.Moreover,analysis of neighborhood order reveals that considering third-order neighbors offers limited accuracy gains but introduces considerable computational overhead,confirming the efficiency of first-and second-order convolution in practical applications.Overall,the proposed graph coupling model offers a lightweight,interpretable,and effective framework for multi-label node classification in complex networks.
文摘Based on an ethnographic study on two cohorts of teachers and parents in China,this article reveals that social networking sites(SNS)have widened the channel for parents and teachers to establish and maintain a relationship,and has formed an online“community of practice”to promote such collaborations.Yet,this could be accomplished only at the expense of teachers’professional and personal boundaries becoming increasingly blurred,which has emerged as a potential risk for their professionalism.Moreover,such a“community of practice”has also opened up a new space for winning or losing at the educational game for parents from different background,which has inadvertently led to widening the arena for the operation of old mechanisms of social inequality.This study suggests that further investigation should be conducted to examine the potential of SNS in the parent−teacher relationship.
