One of the major trends in the reform of English language teaching is the application of network technologies. This paper discusses the application of social network sites in building an interactive English reading co...One of the major trends in the reform of English language teaching is the application of network technologies. This paper discusses the application of social network sites in building an interactive English reading community under the guidance of the constructivist learning theory and its influence on the learners＇ English reading. This SNS-aided reading community puts the students as the center and the teacher the guide, embodying students＇ subjectivity, equality, and interactivity. The study shows that the interactive English reading community can motivate students to read, improve their reading skills, and thus develop a new SNS-aided English reading model for English learners.展开更多
This article mainly studies the impacts of social network sites on English teaching and learning from several aspects,such as the background knowledge of social network sites(SNSs),definition and types,as well as the ...This article mainly studies the impacts of social network sites on English teaching and learning from several aspects,such as the background knowledge of social network sites(SNSs),definition and types,as well as the common use of SNSs in China.The article uses a special view to analyze the possibility of using social network sites on English education.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
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
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
A new random hierarchical model to describe the neighborhood properties of Kaixin001 network is developed in this paper. The degree distribution of this network model follows P（k） k-γ with y = 1. It means the netw...A new random hierarchical model to describe the neighborhood properties of Kaixin001 network is developed in this paper. The degree distribution of this network model follows P（k） k-γ with y = 1. It means the network model has a power-law distribution. Through calculating the clustering coefficients and average path length （APL）, the result reflects that the model has the properties of high clustering coefficients and low APL.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
This work examines the role of social network sites as a tool used by companies to achieve marketing goals. As known from the main business literature, the social network represents one of the most important instrumen...This work examines the role of social network sites as a tool used by companies to achieve marketing goals. As known from the main business literature, the social network represents one of the most important instrument to improve the company fame by strengthening the affection of customers to the brand. For this reason, some companies use these tools to build relations and contacts with customers all over the world. The population of social networks users is made, for the most parts, of youngsters （people belonging to the 13-30 years old cluster）. In the last years, with the social web networking, social communication lost the exclusive social meaning and social network sites become strategic instruments for the construction of powerful relations that connect people with people and people with firms. This work is aimed at clarifying the genesis and the evolution of the relations between companies and potential customers, focusing on the tools used by the firm to achieve their marketing goals through social network sites （SNSs）. First of all, the work proposes the recognition of some studies about the origin of web social network and their links with marketing strategies. Secondly, it considers marketing goals achieved from any companies through social networking with a particular focus on advertising through web social networking.展开更多
Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning techniques.Many analytical and statistical mod...Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning techniques.Many analytical and statistical models are available to infer a variety of user sentiments in posts on social media.The amount of data generated by social media platforms,such as Twitter,that can be used to track diseases is increasing rapidly.This paper proposes a method for the classication of tweets related to the outbreak of dengue using machine learning algorithms.An articial neural network(ANN)-based method is developed using Global Vector(GloVe)embedding to use the data in tweets for the automatic and efcient identication and classication of dengue.The proposed method classies tweets related to the outbreak of dengue into positives and negatives.Experiments were conducted to assess the proposed ANN model based on performance evaluation matrices(confusion matrices).The results show that the GloVe vectors can efciently capture a sufcient amount of information for the classier to accurately identify and classify tweets as relevant or irrelevant to dengue outbreaks.The proposed method can help healthcare professionals and researchers track and analyze epidemic outbreaks through social media in real time.展开更多
The types and functions of social networking sites are becoming more abundant with the prevalence of self-media culture,and the number of daily active users of social networking sites represented by Weibo and Zhihu co...The types and functions of social networking sites are becoming more abundant with the prevalence of self-media culture,and the number of daily active users of social networking sites represented by Weibo and Zhihu continues to expand.There are key node users in social networks.Compared with ordinary users,their influence is greater,their radiation range is wider,and their information transmission capabilities are better.The key node users playimportant roles in public opinion monitoring and hot event prediction when evaluating the criticality of nodes in social networking sites.In order to solve the problems of incomplete evaluation factors,poor recognition rate and low accuracy of key nodes of social networking sites,this paper establishes a social networking site key node recognition algorithm(SNSKNIS)based on PageRank(PR)algorithm,and evaluates the importance of social networking site nodes in combination with the influence of nodes and the structure of nodes in social networks.This article takes the Sina Weibo platform as an example,uses the key node identification algorithm system of social networking sites to discover the key nodes in the social network,analyzes its importance in the social network,and displays it visually.展开更多
A new form of producing and sharing knowledge has emerged as an international(United States of America,Asia,and Europe) research collaboration,known as the Long-Term Ecological Research(LTER) Network.Although Africa b...A new form of producing and sharing knowledge has emerged as an international(United States of America,Asia,and Europe) research collaboration,known as the Long-Term Ecological Research(LTER) Network.Although Africa boasts rich biodiversity,including endemic species,it lacks the long-term initiatives to underpin sustainable biodiversity managements.At present,climate change may exacerbate hunger and poverty concerns in addition to resulting in ecosystem degradation,land use change,and other threats in Africa.Therefore,ecosystem monitoring was suggested to understanding the effects of climate change and setting strategies to mitigate these changes.This paper aimed to investigate ecosystem monitoring ground sites and address their coverage gaps in Africa to provide a foundation for optimizing the African Ecosystem Research Network(AERN) ground sites.The geographic coordinates and characteristics of ground sites-based ecosystem monitoring were collected from various networks aligned with the LTER implementation in Africa.Additionally,climatic data and biodiversity distribution maps were retrieved from various sources.These data were used to assess the size of existing ground sites and the gaps in description,ecosystems and biomes.The results reveal that there were 1089 sites established by various networks.Among these sites,30.5%,27.5%,and 28.8% had no information of area,year of establishment,current status,respectively.However,68.0% of them had an area equal to or greater than 1 km2.Sites were created progressively over the course of the years,with 68.9% being created from 2000 to 2005.To date,only 41.5% of the sites were operational.The sites were scattered across Africa,but they were concentrated in Eastern and Southern Africa.The unbalanced distribution pattern of the sites left Central and Northern Africa hardly covered,and many unique ecosystems in Central Africa were not included.To sustain these sites,the AERN should be based on operational sites,seeking secure funding by establishing multiple partnerships.展开更多
Social Networking Sites(SNSs)are nowadays utilized by the whole world to share ideas,images,and valuable contents by means of a post to reach a group of users.The use of SNS often inflicts the physical and the mental h...Social Networking Sites(SNSs)are nowadays utilized by the whole world to share ideas,images,and valuable contents by means of a post to reach a group of users.The use of SNS often inflicts the physical and the mental health of the people.Nowadays,researchers often focus on identifying the illegal beha-viors in the SNS to reduce its negative influence.The state-of-art Natural Language processing techniques for anomaly detection have utilized a wide anno-tated corpus to identify the anomalies and they are often time-consuming as well as certainly do not guarantee maximum accuracy.To overcome these issues,the proposed methodology utilizes a Modified Convolutional Neural Network(MCNN)using stochastic pooling and a Leaky Rectified Linear Unit(LReLU).Here,each word in the social media text is analyzed based on its meaning.The stochastic pooling accurately detects the anomalous social media posts and reduces the chance of overfitting.The LReLU overcomes the high computational cost and gradient vanishing problem associated with other activation functions.It also doesn’t stop the learning process when the values are negative.The MCNN computes a specified score value using a novel integrated anomaly detection tech-nique.Based on the score value,the anomalies are identified.A Teaching Learn-ing based Optimization(TLBO)algorithm has been used to optimize the feature extraction phase of the modified CNN and fast convergence is offered.In this way,the performance of the model is enhanced in terms of classification accuracy.The efficiency of the proposed technique is compared with the state-of-art techni-ques in terms of accuracy,sensitivity,specificity,recall,and precision.The proposed MCNN-TLBO technique has provided an overall architecture of 97.85%,95.45%,and 97.55%for the three social media datasets namely Facebook,Twitter,and Reddit respectively.展开更多
Using the records of 3,069 regional earthquake events from the Fujian Digital Seismic Network from October 2008 to December 2015,in which the magnitude of each of the events was measured by at least six stations,stati...Using the records of 3,069 regional earthquake events from the Fujian Digital Seismic Network from October 2008 to December 2015,in which the magnitude of each of the events was measured by at least six stations,statistics are taken on the deviation between the magnitude of a single station and the average magnitude of the network. It is found that the magnitudes average deviation of each station is-0. 31-0. 68. Statistics are also taken for the period corresponding to the maximum amplitude of the record measured in each station for calculating the magnitude,and the dominant period gained is 0. 06s-0. 38s; site response of each seismic station is inverted using the Moya method,and it is found that the site response of 98 stations is in the bands of 1-20 Hz,suggesting that the site has an amplifying or suppressing effect on the signals in certain frequency bands;Considering the site response corresponding to the inherent 0. 8s period of the WoodAnderson pendulum seismograph,and comparing the magnitude deviation caused by the site response corresponding to the dominant period time of each station with the average magnitude deviation, we obtain that there is a good linear relationship between the magnitude deviation from the dominant period site response and the average deviation of the magnitude of each station,indicating that the magnitude deviation of a single station has a close relationship with the site response of the period corresponding to the maximum amplitude measured for calculating the magnitude.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
‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no time.With technological advancement and the popularity of smartphones,selfie-taking has grown...‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no time.With technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short time.In light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 years.The data were collected through semi-structured interviews and analysed using thematic analysis.Selfie-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.展开更多
Introduction: Social media platforms have become integral to communication and information exchange in various sectors, including healthcare. For nurses, these platforms provide opportunities for professional networki...Introduction: Social media platforms have become integral to communication and information exchange in various sectors, including healthcare. For nurses, these platforms provide opportunities for professional networking, accessing clinical updates, and improving patient care through shared knowledge. Objective: The study aimed to understand the use of social media and its impact on healthcare delivery among nurses at a specific hospital. Methodology: A mixed-method approach was adopted, combining both quantitative and qualitative data. A cross-sectional descriptive survey was conducted with 313 nurses from various clinical departments in a tertiary healthcare institution. Data collection involved structured questionnaires for quantitative analysis and focus group discussions (FGDs) and key informant interviews (KIIs) for qualitative insights. Quantitative data was analyzed using SPSS version 22, and qualitative data was analyzed using thematic analysis with NVivo software. Results: The study found that Facebook, WhatsApp, and Twitter are the most commonly used platforms among nurses for exchanging health information. Key areas of focus included patient experiences, clinical updates, and best practices. Nurses reported that social media allowed them to quickly access up-to-date information and facilitated collaboration with peers. However, challenges such as concerns over patient privacy, the reliability of online information, and the absence of formal guidelines were noted. Conclusion: Social media has significant potential to enhance clinical decision-making and improve patient care among nurses in Ghana. However, barriers such as privacy concerns, unreliable internet access, and the absence of structured guidelines limit its full potential in professional practice. Recommendations: The Ministry of Health, in collaboration with health services, private agencies, and network providers, should also develop clear guidelines for social media use in clinical settings.展开更多
While participation in Social Network Sites （SNSs） has grown rapidly in recent years and is a highly popular and global phenomenon, only few research examined how the different cultural values and attitudes impact t...While participation in Social Network Sites （SNSs） has grown rapidly in recent years and is a highly popular and global phenomenon, only few research examined how the different cultural values and attitudes impact the way people adopt and use this new media platform. Employing qualitative approach, this study attempts to uncover the cross-cultural differences in motivations and behavioral patterns for using SNSs among the Korean and American users. The finding of this study shows the explicit differences in the motivations and strategies for using SNSs between Korean and American users, which is supported by the independent and interdependent self-construals theory proposed by Markus and Kitayama （1991）. The motivational themes and usage patterns emerged from Korean participants are more other- or relationship-focused, pursuing social/emotional support, while those of Americans are more ego- or self-focused, pertaining to entertainment or information seeking.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
文摘One of the major trends in the reform of English language teaching is the application of network technologies. This paper discusses the application of social network sites in building an interactive English reading community under the guidance of the constructivist learning theory and its influence on the learners＇ English reading. This SNS-aided reading community puts the students as the center and the teacher the guide, embodying students＇ subjectivity, equality, and interactivity. The study shows that the interactive English reading community can motivate students to read, improve their reading skills, and thus develop a new SNS-aided English reading model for English learners.
文摘This article mainly studies the impacts of social network sites on English teaching and learning from several aspects,such as the background knowledge of social network sites(SNSs),definition and types,as well as the common use of SNSs in China.The article uses a special view to analyze the possibility of using social network sites on English education.
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.
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.
基金Natural Science Foundation of Shanghai,China (No. 10ZR1400400)
文摘A new random hierarchical model to describe the neighborhood properties of Kaixin001 network is developed in this paper. The degree distribution of this network model follows P（k） k-γ with y = 1. It means the network model has a power-law distribution. Through calculating the clustering coefficients and average path length （APL）, the result reflects that the model has the properties of high clustering coefficients and low APL.
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This work examines the role of social network sites as a tool used by companies to achieve marketing goals. As known from the main business literature, the social network represents one of the most important instrument to improve the company fame by strengthening the affection of customers to the brand. For this reason, some companies use these tools to build relations and contacts with customers all over the world. The population of social networks users is made, for the most parts, of youngsters （people belonging to the 13-30 years old cluster）. In the last years, with the social web networking, social communication lost the exclusive social meaning and social network sites become strategic instruments for the construction of powerful relations that connect people with people and people with firms. This work is aimed at clarifying the genesis and the evolution of the relations between companies and potential customers, focusing on the tools used by the firm to achieve their marketing goals through social network sites （SNSs）. First of all, the work proposes the recognition of some studies about the origin of web social network and their links with marketing strategies. Secondly, it considers marketing goals achieved from any companies through social networking with a particular focus on advertising through web social networking.
文摘Social media platforms have lately emerged as a promising tool for predicting the outbreak of epidemics by analyzing information on them with the help of machine learning techniques.Many analytical and statistical models are available to infer a variety of user sentiments in posts on social media.The amount of data generated by social media platforms,such as Twitter,that can be used to track diseases is increasing rapidly.This paper proposes a method for the classication of tweets related to the outbreak of dengue using machine learning algorithms.An articial neural network(ANN)-based method is developed using Global Vector(GloVe)embedding to use the data in tweets for the automatic and efcient identication and classication of dengue.The proposed method classies tweets related to the outbreak of dengue into positives and negatives.Experiments were conducted to assess the proposed ANN model based on performance evaluation matrices(confusion matrices).The results show that the GloVe vectors can efciently capture a sufcient amount of information for the classier to accurately identify and classify tweets as relevant or irrelevant to dengue outbreaks.The proposed method can help healthcare professionals and researchers track and analyze epidemic outbreaks through social media in real time.
基金supported by Jiangsu Social Science Foundation Project(Grant No:20TQC005)Philosophy Social Science Research Project Fund of Jiangsu University(Grant No:2020SJA0500)+2 种基金The National Natural Science Foundation of China(GrantNo.61802155)The Innovation and Entrepreneurship Project Fund for College Students of Jiangsu Police Academy(Grant No.202110329028Y)The“qinglan Project”of Jiangsu Universities.
文摘The types and functions of social networking sites are becoming more abundant with the prevalence of self-media culture,and the number of daily active users of social networking sites represented by Weibo and Zhihu continues to expand.There are key node users in social networks.Compared with ordinary users,their influence is greater,their radiation range is wider,and their information transmission capabilities are better.The key node users playimportant roles in public opinion monitoring and hot event prediction when evaluating the criticality of nodes in social networking sites.In order to solve the problems of incomplete evaluation factors,poor recognition rate and low accuracy of key nodes of social networking sites,this paper establishes a social networking site key node recognition algorithm(SNSKNIS)based on PageRank(PR)algorithm,and evaluates the importance of social networking site nodes in combination with the influence of nodes and the structure of nodes in social networks.This article takes the Sina Weibo platform as an example,uses the key node identification algorithm system of social networking sites to discover the key nodes in the social network,analyzes its importance in the social network,and displays it visually.
基金Under the auspices of National Natural Science Foundation of China(No.31161140355)
文摘A new form of producing and sharing knowledge has emerged as an international(United States of America,Asia,and Europe) research collaboration,known as the Long-Term Ecological Research(LTER) Network.Although Africa boasts rich biodiversity,including endemic species,it lacks the long-term initiatives to underpin sustainable biodiversity managements.At present,climate change may exacerbate hunger and poverty concerns in addition to resulting in ecosystem degradation,land use change,and other threats in Africa.Therefore,ecosystem monitoring was suggested to understanding the effects of climate change and setting strategies to mitigate these changes.This paper aimed to investigate ecosystem monitoring ground sites and address their coverage gaps in Africa to provide a foundation for optimizing the African Ecosystem Research Network(AERN) ground sites.The geographic coordinates and characteristics of ground sites-based ecosystem monitoring were collected from various networks aligned with the LTER implementation in Africa.Additionally,climatic data and biodiversity distribution maps were retrieved from various sources.These data were used to assess the size of existing ground sites and the gaps in description,ecosystems and biomes.The results reveal that there were 1089 sites established by various networks.Among these sites,30.5%,27.5%,and 28.8% had no information of area,year of establishment,current status,respectively.However,68.0% of them had an area equal to or greater than 1 km2.Sites were created progressively over the course of the years,with 68.9% being created from 2000 to 2005.To date,only 41.5% of the sites were operational.The sites were scattered across Africa,but they were concentrated in Eastern and Southern Africa.The unbalanced distribution pattern of the sites left Central and Northern Africa hardly covered,and many unique ecosystems in Central Africa were not included.To sustain these sites,the AERN should be based on operational sites,seeking secure funding by establishing multiple partnerships.
文摘Social Networking Sites(SNSs)are nowadays utilized by the whole world to share ideas,images,and valuable contents by means of a post to reach a group of users.The use of SNS often inflicts the physical and the mental health of the people.Nowadays,researchers often focus on identifying the illegal beha-viors in the SNS to reduce its negative influence.The state-of-art Natural Language processing techniques for anomaly detection have utilized a wide anno-tated corpus to identify the anomalies and they are often time-consuming as well as certainly do not guarantee maximum accuracy.To overcome these issues,the proposed methodology utilizes a Modified Convolutional Neural Network(MCNN)using stochastic pooling and a Leaky Rectified Linear Unit(LReLU).Here,each word in the social media text is analyzed based on its meaning.The stochastic pooling accurately detects the anomalous social media posts and reduces the chance of overfitting.The LReLU overcomes the high computational cost and gradient vanishing problem associated with other activation functions.It also doesn’t stop the learning process when the values are negative.The MCNN computes a specified score value using a novel integrated anomaly detection tech-nique.Based on the score value,the anomalies are identified.A Teaching Learn-ing based Optimization(TLBO)algorithm has been used to optimize the feature extraction phase of the modified CNN and fast convergence is offered.In this way,the performance of the model is enhanced in terms of classification accuracy.The efficiency of the proposed technique is compared with the state-of-art techni-ques in terms of accuracy,sensitivity,specificity,recall,and precision.The proposed MCNN-TLBO technique has provided an overall architecture of 97.85%,95.45%,and 97.55%for the three social media datasets namely Facebook,Twitter,and Reddit respectively.
文摘Using the records of 3,069 regional earthquake events from the Fujian Digital Seismic Network from October 2008 to December 2015,in which the magnitude of each of the events was measured by at least six stations,statistics are taken on the deviation between the magnitude of a single station and the average magnitude of the network. It is found that the magnitudes average deviation of each station is-0. 31-0. 68. Statistics are also taken for the period corresponding to the maximum amplitude of the record measured in each station for calculating the magnitude,and the dominant period gained is 0. 06s-0. 38s; site response of each seismic station is inverted using the Moya method,and it is found that the site response of 98 stations is in the bands of 1-20 Hz,suggesting that the site has an amplifying or suppressing effect on the signals in certain frequency bands;Considering the site response corresponding to the inherent 0. 8s period of the WoodAnderson pendulum seismograph,and comparing the magnitude deviation caused by the site response corresponding to the dominant period time of each station with the average magnitude deviation, we obtain that there is a good linear relationship between the magnitude deviation from the dominant period site response and the average deviation of the magnitude of each station,indicating that the magnitude deviation of a single station has a close relationship with the site response of the period corresponding to the maximum amplitude measured for calculating the magnitude.
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.
文摘‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no time.With technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short time.In light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 years.The data were collected through semi-structured interviews and analysed using thematic analysis.Selfie-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.
文摘Introduction: Social media platforms have become integral to communication and information exchange in various sectors, including healthcare. For nurses, these platforms provide opportunities for professional networking, accessing clinical updates, and improving patient care through shared knowledge. Objective: The study aimed to understand the use of social media and its impact on healthcare delivery among nurses at a specific hospital. Methodology: A mixed-method approach was adopted, combining both quantitative and qualitative data. A cross-sectional descriptive survey was conducted with 313 nurses from various clinical departments in a tertiary healthcare institution. Data collection involved structured questionnaires for quantitative analysis and focus group discussions (FGDs) and key informant interviews (KIIs) for qualitative insights. Quantitative data was analyzed using SPSS version 22, and qualitative data was analyzed using thematic analysis with NVivo software. Results: The study found that Facebook, WhatsApp, and Twitter are the most commonly used platforms among nurses for exchanging health information. Key areas of focus included patient experiences, clinical updates, and best practices. Nurses reported that social media allowed them to quickly access up-to-date information and facilitated collaboration with peers. However, challenges such as concerns over patient privacy, the reliability of online information, and the absence of formal guidelines were noted. Conclusion: Social media has significant potential to enhance clinical decision-making and improve patient care among nurses in Ghana. However, barriers such as privacy concerns, unreliable internet access, and the absence of structured guidelines limit its full potential in professional practice. Recommendations: The Ministry of Health, in collaboration with health services, private agencies, and network providers, should also develop clear guidelines for social media use in clinical settings.
文摘While participation in Social Network Sites （SNSs） has grown rapidly in recent years and is a highly popular and global phenomenon, only few research examined how the different cultural values and attitudes impact the way people adopt and use this new media platform. Employing qualitative approach, this study attempts to uncover the cross-cultural differences in motivations and behavioral patterns for using SNSs among the Korean and American users. The finding of this study shows the explicit differences in the motivations and strategies for using SNSs between Korean and American users, which is supported by the independent and interdependent self-construals theory proposed by Markus and Kitayama （1991）. The motivational themes and usage patterns emerged from Korean participants are more other- or relationship-focused, pursuing social/emotional support, while those of Americans are more ego- or self-focused, pertaining to entertainment or information seeking.
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.
