In a certain period,some news will compete for the top news to gain the most attention and influence,and more news will be submerged in the ocean of news and become mediocre.This article deeply studies the evolution p...In a certain period,some news will compete for the top news to gain the most attention and influence,and more news will be submerged in the ocean of news and become mediocre.This article deeply studies the evolution process and competition mechanism of the dissemination of Weibo news.In this paper,we innovatively propose a pre-processing scheme for traditional small-world networks and scale-free networks and divide nodes into three roles:fans,passersby,and anti-fans.The competition mechanism of Weibo top news is defined from the aspects of node role and node aggregation degree.A network evolution model is established based on the competition mechanism.The propagation characteristics of the network evolution model are deeply analyzed,and simulation experiments are performed on the small-world network and the scale-free network.Finally,the validity and rationality of the new model are verified through comparative experiments,and a feasible scheme for the propagation of top news on Weibo is given.展开更多
Weibo,also known as micro-blog,with its extremely low threshold of information release and interactive communication mode,has become the primary source and communication form of Internet hotspots.However,characterized...Weibo,also known as micro-blog,with its extremely low threshold of information release and interactive communication mode,has become the primary source and communication form of Internet hotspots.However,characterized as a kind of short text,the sparsity in semantic features,plus its colloquial and diversified expressions makes clustering analysis more difficult.In order to solve the above problems,we use the Biterm topic model(BTM)to extract features from the corpus and use vector space model(VSM)to strengthen the features to reduce the vector dimension and highlight the main features.Then,an improved Weibo feature-incorporated incremental clustering algorithm and the Weibo buzz calculation formula are proposed to describe the buzz of Weibo,and then the discovery of hotspots can be reasonably made.The experimental results show that the incremental clustering algorithm presented in this paper can effectively improve the accuracy of clustering in different dimensions.Meanwhile,the calculation formula of Weibo buzz reasonably describes the evolution process of Weibo buzz from a qualitative point of view,which can help discover the hotspots effectively.展开更多
While incomplete non-medical data has been integrated into prediction models for epidemics,the accuracy and the generalizability of the data are difficult to guarantee.To comprehensively evaluate the ability and appli...While incomplete non-medical data has been integrated into prediction models for epidemics,the accuracy and the generalizability of the data are difficult to guarantee.To comprehensively evaluate the ability and applicability of using social media data to predict the development of COVID-19,a new confirmed case prediction algorithm improving the Google Flu Trends algorithm is established,called Weibo COVID-19 Trends(WCT),based on the post dataset generated by all users in Wuhan on Sina Weibo.A genetic algorithm is designed to select the keyword set for filtering COVID-19 related posts.WCT can constantly outperform the highest average test score in the training set between daily new confirmed case counts and the prediction results.It remains to produce the best prediction results among other algorithms when the number of forecast days increases from one to eight days with the highest correlation score from 0.98(P<0.01)to 0.86(P<0.01)during all analysis period.Additionally,WCT effectively improves the Google Flu Trends algorithm's shortcoming of overestimating the epidemic peak value.This study offers a highly adaptive approach for feature engineering of third-party data in epidemic prediction,providing useful insights for the prediction of newly emerging infectious diseases at an early stage.展开更多
Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operat...Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operating results,we aim to estimate and verify this number through measurement by using statistical techniques.Existing approaches on measurement always rely on the supported streaming application programming interface(API)which provides proportional sampling.However no such API is available for Sina Weibo.Instead,Sina provides a public timeline API which provides non-proportional sampling but always returns a(nearly)fixed number of s amples.In this paper,we present a novel method utilizing this API and estimate the number of posts in Sina Weibo in its golden age.展开更多
In order to explore the evolution process of the Weibo local network,this study first defines four factors influencing the evolution of the Weibo network.On this basis,the BA scale-free network model was enhanced by i...In order to explore the evolution process of the Weibo local network,this study first defines four factors influencing the evolution of the Weibo network.On this basis,the BA scale-free network model was enhanced by incorporating these four factors and accounting for directionality,resulting in a Weibo local network evolution model based on user attributes and behavioral similarity.The model's validity was validated by comparing simulation results with real data.The findings indicate that the Weibo local network exhibits both small-world characteristics and distinctive features.The results show that the Weibo local network exhibits both small-world characteristics and distinctive properties.The in-degree distribution follows a mixed pattern of exponential and power-law distributions,the degree-degree shows isomatching,and both the in-degree centrality and eigenvector centrality values are relatively low.This research contributes to our understanding of user behaviour in the Weibo network,and provides a structural basis for exploring the impact of Weibo network structure on information dissemination.展开更多
User interest mining on Sina Weibo is the basis of personalized recommendations,advertising,marketing promotions,and other tasks.Although great progress has been made in this area,previous studies have ignored the dif...User interest mining on Sina Weibo is the basis of personalized recommendations,advertising,marketing promotions,and other tasks.Although great progress has been made in this area,previous studies have ignored the differences among users:the varied behaviors and habits that lead to unique user data characteristics.It is unreasonable to use a single strategy to mine interests from such varied user data.Therefore,this paper proposes an adaptive model for user interest mining based on a multi-agent system whose input includes self-descriptive user data,microblogs and correlations.This method has the ability to select the appropriate strategy based on each user’s data characteristics.The experimental results show that the proposed method performs better than the baselines.展开更多
A user profile contains information about a user. A substantial effort has been made so as to understand users’ behavior through analyzing their profile data. Online social networks provide an enormous amount of such...A user profile contains information about a user. A substantial effort has been made so as to understand users’ behavior through analyzing their profile data. Online social networks provide an enormous amount of such information for researchers. Sina Weibo, a Twitter-like microblogging platform, has achieved a great success in China although studies on it are still in an initial state. This paper aims to explore the relationships among different profile attributes in Sina Weibo. We use the techniques of association rule mining to identify the dependency among the attributes and we found that if a user’s posts are welcomed, he or she is more likely to have a large number of followers. Our results demonstrate how the relationships among the profile attributes are affected by a user’s verified type. We also put some efforts on data transformation and analyze the influence of the statistical properties of the data distribution on data discretization.展开更多
With the diversified development of conmiunication platforms and information,internet resources are becoming more and more abundant,and the challenges faced by all walks of life are becoming more and more difficult.It...With the diversified development of conmiunication platforms and information,internet resources are becoming more and more abundant,and the challenges faced by all walks of life are becoming more and more difficult.It is necessaiy to progress with the times and introduce new generation resources,and to prevent various iiifonnation leakage and fraud risks caused by the internet,preventing too much bad information oil the internet.University is the crucial stage for students to establish a good understanding,and good ideological and political education can promote the establishment of correct‘Three Views’in students.This paper mainly uses Weibo as the earner to explain the relevant fimetions of Weibo,using Weibo to assist the challenges faced by the universities in ideological and political education,and using Weibo to extend the chamiels of ideological and political education in universities for the reference of relevant personnel.展开更多
In recent years,the in-depth development of quality education has brought opportunities for the innovation and reform of ideological and political education in colleges and universities in China.Online ideological and...In recent years,the in-depth development of quality education has brought opportunities for the innovation and reform of ideological and political education in colleges and universities in China.Online ideological and political education,as a modern embodiment of ideological and political education,is planned and carried out purposefully under the Weibo network environment,which is more conducive to breaking the distance between time and space and presenting high-quality educational content to students.In view of this,this article will focus on the development of online ideological and political education under the Weibo network environment,consider the existing problems,and propose specific countermeasures to improve the level of online ideological and political education in colleges and universities.展开更多
Weibo is the Twitter counterpart in China that has attracted hundreds of millions of users. We crawled an almost complete Weibo user network that contains 222 million users and 27 billion links in 2013. This paper ana...Weibo is the Twitter counterpart in China that has attracted hundreds of millions of users. We crawled an almost complete Weibo user network that contains 222 million users and 27 billion links in 2013. This paper analyzes the structural properties of this network, and compares it with a Twitter user network. The topological properties we studied include the degree distributions, connected components, distance distributions, reciprocity,clustering coefficient, Page Rank centrality, and degree assortativity. We find that Weibo users have a higher diversity index, higher Gini index, but a lower reciprocity and clustering coefficient for most of the nodes. A surprising observation is that the reciprocity of Weibo is only about a quarter of the reciprocity of the Twitter user network. We also show that Weibo adoption rate correlates with economic development positively, and Weibo network can be used to quantify the connections between provinces and regions in China. In particular, point-wise mutual information is shown to be accurate in quantifying the strength of connections. We developed an interactive analyzing software framework for this study, and released the data and code online.展开更多
The focus of this essay is microfiction （wei xiaoshuo）, a form of Weibo-based fiction writing. From the perspective of its most prominent feature--microness--the authors investigate the dialectical relationship betw...The focus of this essay is microfiction （wei xiaoshuo）, a form of Weibo-based fiction writing. From the perspective of its most prominent feature--microness--the authors investigate the dialectical relationship between microness and largeness embodied in its form, the context of its emergence, the conditions of its existence, as well as the issues reflected in its content. Studying three disparate cases of microfiction writing, namely microfiction selected from contests hosted by Sina, Chen Peng＇s personal Weibo posts, and Wen Huanjian＇s Weibo novel, Love in the Age of Microblogging （Weibo shiqi de aiqing）, we explore the cultural status of microfiction as a reflection of the combination of literary writing and online activities; and its aesthetic, literary, and cultural characteristics. Reading microfiction in both a literary and a sociocultural text, we argue that the smallness is an intrusion upon the largeness and hegemony of grand narratives on the one hand, and a reflection of a boradly changing reality on the other.展开更多
BOGUS FOOD MAKES EXPERTS OF US ALL China is not running short of food security news.In May,the Ministry of Public Security cracked down on a case of selling processed mice or fox meat as lamb,and CCTV reported on ging...BOGUS FOOD MAKES EXPERTS OF US ALL China is not running short of food security news.In May,the Ministry of Public Security cracked down on a case of selling processed mice or fox meat as lamb,and CCTV reported on ginger production using banned pesticides in Shandong Province.Since then,advice has been flooding in from media outlets with food experts espousing advice such as'Four Steps to Discovering Toxic Ginger'and'Seven Steps to Finding Fake Lamb'.展开更多
China’s Sina Weibo social media platform is now officially worth more than Twitter—the platform it copied.Weibo lands at around 11.35 billion USD while Twitter flits in at the slightly lower 11.34billion USD.The fac...China’s Sina Weibo social media platform is now officially worth more than Twitter—the platform it copied.Weibo lands at around 11.35 billion USD while Twitter flits in at the slightly lower 11.34billion USD.The fact that the Chinese internet authorities blocked Twitter access in 2009 has certainly been a boon to Weibo,but Twitter has been experiencing problems for quite awhile,including inability to add new users.The short story is that Weibo is on the up and Twitter is on the out;展开更多
WHEELCHAIR BOMBER Disgruntled petitioner Ji Zhongxing set off a bomb from the confines of his wheelchair in July.Fortunately,though not for him,he only injured himself.Bravely—or perhaps in a fit of madness—Ji warne...WHEELCHAIR BOMBER Disgruntled petitioner Ji Zhongxing set off a bomb from the confines of his wheelchair in July.Fortunately,though not for him,he only injured himself.Bravely—or perhaps in a fit of madness—Ji warned innocent bystanders away from him so as not to injure others.Ji is believed to have been protesting against an attack upon him by heavy-handed security guards from Shandong who,allegedly,left him paralyzed.展开更多
基金Project supported by the National Natural Science Foundation of China(Grant No.61863025)。
文摘In a certain period,some news will compete for the top news to gain the most attention and influence,and more news will be submerged in the ocean of news and become mediocre.This article deeply studies the evolution process and competition mechanism of the dissemination of Weibo news.In this paper,we innovatively propose a pre-processing scheme for traditional small-world networks and scale-free networks and divide nodes into three roles:fans,passersby,and anti-fans.The competition mechanism of Weibo top news is defined from the aspects of node role and node aggregation degree.A network evolution model is established based on the competition mechanism.The propagation characteristics of the network evolution model are deeply analyzed,and simulation experiments are performed on the small-world network and the scale-free network.Finally,the validity and rationality of the new model are verified through comparative experiments,and a feasible scheme for the propagation of top news on Weibo is given.
基金the Innovation Special Fund for the Postgraduates of Jiangxi Province(No.YC2016-B016)
文摘Weibo,also known as micro-blog,with its extremely low threshold of information release and interactive communication mode,has become the primary source and communication form of Internet hotspots.However,characterized as a kind of short text,the sparsity in semantic features,plus its colloquial and diversified expressions makes clustering analysis more difficult.In order to solve the above problems,we use the Biterm topic model(BTM)to extract features from the corpus and use vector space model(VSM)to strengthen the features to reduce the vector dimension and highlight the main features.Then,an improved Weibo feature-incorporated incremental clustering algorithm and the Weibo buzz calculation formula are proposed to describe the buzz of Weibo,and then the discovery of hotspots can be reasonably made.The experimental results show that the incremental clustering algorithm presented in this paper can effectively improve the accuracy of clustering in different dimensions.Meanwhile,the calculation formula of Weibo buzz reasonably describes the evolution process of Weibo buzz from a qualitative point of view,which can help discover the hotspots effectively.
基金National Natural Science Foundation of China(Project No.:91846301,72025405,82041020,11975071,61773248,71771152)Sichuan Science and Technology Plan Project(Project No.:2020YFS0007)+2 种基金Hunan Science and Technology Plan Project(Project No.:2019GK2131,2020TP1013,2020JJ4673)Major Program of National Fund of Philosophy and Social Science of China(Project No.:18ZDA088,20ZDA060)Scientific Research Project of Shanghai Science and Technology Committee(Project No.:19511102202).
文摘While incomplete non-medical data has been integrated into prediction models for epidemics,the accuracy and the generalizability of the data are difficult to guarantee.To comprehensively evaluate the ability and applicability of using social media data to predict the development of COVID-19,a new confirmed case prediction algorithm improving the Google Flu Trends algorithm is established,called Weibo COVID-19 Trends(WCT),based on the post dataset generated by all users in Wuhan on Sina Weibo.A genetic algorithm is designed to select the keyword set for filtering COVID-19 related posts.WCT can constantly outperform the highest average test score in the training set between daily new confirmed case counts and the prediction results.It remains to produce the best prediction results among other algorithms when the number of forecast days increases from one to eight days with the highest correlation score from 0.98(P<0.01)to 0.86(P<0.01)during all analysis period.Additionally,WCT effectively improves the Google Flu Trends algorithm's shortcoming of overestimating the epidemic peak value.This study offers a highly adaptive approach for feature engineering of third-party data in epidemic prediction,providing useful insights for the prediction of newly emerging infectious diseases at an early stage.
基金This work was supported in part by the National Natural Science Foundation of China under Grants 61602111,61502099,61502100,61532013the Jiangsu Provincial Natural Science Foundation of China under Grants BK20150628,BK20150637+2 种基金the Jiangsu Provincial Scientific and Technological Achievements Transfer Fund,and by the Jiangsu Provincial Key Laboratory of Network and Information Security under Grant BM2003201the Key Laboratory of Computer Network and Information Integration of Ministry of Education of China under Grant 93K-9Collaborative Innovation Center of Novel Software Technology and Industrialization.
文摘Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operating results,we aim to estimate and verify this number through measurement by using statistical techniques.Existing approaches on measurement always rely on the supported streaming application programming interface(API)which provides proportional sampling.However no such API is available for Sina Weibo.Instead,Sina provides a public timeline API which provides non-proportional sampling but always returns a(nearly)fixed number of s amples.In this paper,we present a novel method utilizing this API and estimate the number of posts in Sina Weibo in its golden age.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.62266030 and 61863025)。
文摘In order to explore the evolution process of the Weibo local network,this study first defines four factors influencing the evolution of the Weibo network.On this basis,the BA scale-free network model was enhanced by incorporating these four factors and accounting for directionality,resulting in a Weibo local network evolution model based on user attributes and behavioral similarity.The model's validity was validated by comparing simulation results with real data.The findings indicate that the Weibo local network exhibits both small-world characteristics and distinctive features.The results show that the Weibo local network exhibits both small-world characteristics and distinctive properties.The in-degree distribution follows a mixed pattern of exponential and power-law distributions,the degree-degree shows isomatching,and both the in-degree centrality and eigenvector centrality values are relatively low.This research contributes to our understanding of user behaviour in the Weibo network,and provides a structural basis for exploring the impact of Weibo network structure on information dissemination.
文摘User interest mining on Sina Weibo is the basis of personalized recommendations,advertising,marketing promotions,and other tasks.Although great progress has been made in this area,previous studies have ignored the differences among users:the varied behaviors and habits that lead to unique user data characteristics.It is unreasonable to use a single strategy to mine interests from such varied user data.Therefore,this paper proposes an adaptive model for user interest mining based on a multi-agent system whose input includes self-descriptive user data,microblogs and correlations.This method has the ability to select the appropriate strategy based on each user’s data characteristics.The experimental results show that the proposed method performs better than the baselines.
文摘A user profile contains information about a user. A substantial effort has been made so as to understand users’ behavior through analyzing their profile data. Online social networks provide an enormous amount of such information for researchers. Sina Weibo, a Twitter-like microblogging platform, has achieved a great success in China although studies on it are still in an initial state. This paper aims to explore the relationships among different profile attributes in Sina Weibo. We use the techniques of association rule mining to identify the dependency among the attributes and we found that if a user’s posts are welcomed, he or she is more likely to have a large number of followers. Our results demonstrate how the relationships among the profile attributes are affected by a user’s verified type. We also put some efforts on data transformation and analyze the influence of the statistical properties of the data distribution on data discretization.
文摘With the diversified development of conmiunication platforms and information,internet resources are becoming more and more abundant,and the challenges faced by all walks of life are becoming more and more difficult.It is necessaiy to progress with the times and introduce new generation resources,and to prevent various iiifonnation leakage and fraud risks caused by the internet,preventing too much bad information oil the internet.University is the crucial stage for students to establish a good understanding,and good ideological and political education can promote the establishment of correct‘Three Views’in students.This paper mainly uses Weibo as the earner to explain the relevant fimetions of Weibo,using Weibo to assist the challenges faced by the universities in ideological and political education,and using Weibo to extend the chamiels of ideological and political education in universities for the reference of relevant personnel.
文摘In recent years,the in-depth development of quality education has brought opportunities for the innovation and reform of ideological and political education in colleges and universities in China.Online ideological and political education,as a modern embodiment of ideological and political education,is planned and carried out purposefully under the Weibo network environment,which is more conducive to breaking the distance between time and space and presenting high-quality educational content to students.In view of this,this article will focus on the development of online ideological and political education under the Weibo network environment,consider the existing problems,and propose specific countermeasures to improve the level of online ideological and political education in colleges and universities.
基金supported by NSERC(Natural Sciences and Engineering Research Council of Canada)Discovery grant(No.RGPIN-2014-04463)the National High-Tech Research and Development(863)Program of China(No.2012AA010903)the National Natural Science Foundation of China(Nos.61433008 and U1435216)
文摘Weibo is the Twitter counterpart in China that has attracted hundreds of millions of users. We crawled an almost complete Weibo user network that contains 222 million users and 27 billion links in 2013. This paper analyzes the structural properties of this network, and compares it with a Twitter user network. The topological properties we studied include the degree distributions, connected components, distance distributions, reciprocity,clustering coefficient, Page Rank centrality, and degree assortativity. We find that Weibo users have a higher diversity index, higher Gini index, but a lower reciprocity and clustering coefficient for most of the nodes. A surprising observation is that the reciprocity of Weibo is only about a quarter of the reciprocity of the Twitter user network. We also show that Weibo adoption rate correlates with economic development positively, and Weibo network can be used to quantify the connections between provinces and regions in China. In particular, point-wise mutual information is shown to be accurate in quantifying the strength of connections. We developed an interactive analyzing software framework for this study, and released the data and code online.
文摘The focus of this essay is microfiction （wei xiaoshuo）, a form of Weibo-based fiction writing. From the perspective of its most prominent feature--microness--the authors investigate the dialectical relationship between microness and largeness embodied in its form, the context of its emergence, the conditions of its existence, as well as the issues reflected in its content. Studying three disparate cases of microfiction writing, namely microfiction selected from contests hosted by Sina, Chen Peng＇s personal Weibo posts, and Wen Huanjian＇s Weibo novel, Love in the Age of Microblogging （Weibo shiqi de aiqing）, we explore the cultural status of microfiction as a reflection of the combination of literary writing and online activities; and its aesthetic, literary, and cultural characteristics. Reading microfiction in both a literary and a sociocultural text, we argue that the smallness is an intrusion upon the largeness and hegemony of grand narratives on the one hand, and a reflection of a boradly changing reality on the other.
文摘BOGUS FOOD MAKES EXPERTS OF US ALL China is not running short of food security news.In May,the Ministry of Public Security cracked down on a case of selling processed mice or fox meat as lamb,and CCTV reported on ginger production using banned pesticides in Shandong Province.Since then,advice has been flooding in from media outlets with food experts espousing advice such as'Four Steps to Discovering Toxic Ginger'and'Seven Steps to Finding Fake Lamb'.
文摘China’s Sina Weibo social media platform is now officially worth more than Twitter—the platform it copied.Weibo lands at around 11.35 billion USD while Twitter flits in at the slightly lower 11.34billion USD.The fact that the Chinese internet authorities blocked Twitter access in 2009 has certainly been a boon to Weibo,but Twitter has been experiencing problems for quite awhile,including inability to add new users.The short story is that Weibo is on the up and Twitter is on the out;
文摘WHEELCHAIR BOMBER Disgruntled petitioner Ji Zhongxing set off a bomb from the confines of his wheelchair in July.Fortunately,though not for him,he only injured himself.Bravely—or perhaps in a fit of madness—Ji warned innocent bystanders away from him so as not to injure others.Ji is believed to have been protesting against an attack upon him by heavy-handed security guards from Shandong who,allegedly,left him paralyzed.
