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
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
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,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
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.
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.
