The study makes a contrastive analysis of the differences in the comments of people from different social status in their Mini-blogs.It aims to find the manifestations of those differences by analyzing the underlying ...The study makes a contrastive analysis of the differences in the comments of people from different social status in their Mini-blogs.It aims to find the manifestations of those differences by analyzing the underlying causes and provide constructive suggestions on how to build a more harmonious public platform,which is of its great significance.展开更多
In micro-blogging contexts such as Twitter,the number of content producers can easily reach tens of thousands,and many users can participate in discussion of any given topic.While many users can introduce diversity,as...In micro-blogging contexts such as Twitter,the number of content producers can easily reach tens of thousands,and many users can participate in discussion of any given topic.While many users can introduce diversity,as not all users are equally influential,it makes it challenging to identify the true influencers,who are generally rated as being interesting and authoritative on a given topic.In this study,the influence of users is measured by performing random walks of the multi-relational data in micro-blogging:retweet,reply,reintroduce,and read.Due to the uncertainty of the reintroduce and read operations,a new method is proposed to determine the transition probabilities of uncertain relational networks.Moreover,we propose a method for performing the combined random walks for the multi-relational influence network,considering both the transition probabilities for intra-and inter-networking.Experiments were conducted on a real Twitter dataset containing about 260 000 users and 2.7million tweets,and the results show that our method is more effective than TwitterRank and other methods used to discover influencers.展开更多
With the rising and spreading of micro-blog, the sentiment classification of short texts has become a research hotspot. Some methods have been developed in the past decade. However, since the Chinese and English are d...With the rising and spreading of micro-blog, the sentiment classification of short texts has become a research hotspot. Some methods have been developed in the past decade. However, since the Chinese and English are different in language syntax, semantics and pragmatics, sentiment classification methods that are effective for English twitter may fail on Chinese micro-blog. In addition, the colloquialism and conciseness of short Chinese texts introduces additional challenges to sentiment classification. In this work, a novel hybrid learning model was proposed for sentiment classification of Chinese micro-blogs, which included two stages. In the first stage, emotional scores were calculated over the whole dataset by utilizing an improved Chinese-oriented sentiment dictionary classification method. Data with extremely high or low scores were directly labeled. In the second stage, the remaining data were labeled by using an integrated classification method based on sentiment dictionary, support vector machine(SVM) and k-nearest neighbor(KNN). An improved feature selection method was adopted to enhance the discriminative power of the selected features. The two-stage hybrid framework made the proposed method effective for sentiment classification of Chinese micro-blogs. Experiments on the COAE2014(Chinese Opinion Analysis Evaluation 2014) dataset show that the proposed method outperforms other schemes.展开更多
In this work, a rumor’s spreading and controlling in a directed Micro-blog user network being consisted with 580 000 nodes are simulated. By defining some authority nodes that release anti-rumor information as the pr...In this work, a rumor’s spreading and controlling in a directed Micro-blog user network being consisted with 580 000 nodes are simulated. By defining some authority nodes that release anti-rumor information as the prevention strategy, the effect of the nodes’ role in network on rumor’s suppression is studied. The findings show that rumor will be spread out fast and reach a stable level within limited steps. The suppression of rumor is more predominated by the intervening opportunity, the earlier the intervention strategy was implemented, the better the rumor’s controlling could be achieved. The controlling effect is less relevant with the role of the authority nodes in network.展开更多
After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group ...After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group events to upgrade and expand the scope of harm. It is difficult to deal. So public opinion control is very important. In this paper, we establish an influence model for spreading of public opinion based on SIR model. Through the political analysis, this paper finds that the network group events will subside, but the influence scope, time and ability of event cannot be ignored. As a result of this study, the corresponding strategies are put forward in this paper.展开更多
The use of social media in political communication has demonstrated its significance by the example of Arab Spring and the 2008 US presidential election, but its role in non-western democratic countries like Taiwan ha...The use of social media in political communication has demonstrated its significance by the example of Arab Spring and the 2008 US presidential election, but its role in non-western democratic countries like Taiwan has rarely been examined. Micro-blogs share some characteristics with other types of social media but operate in a lighter way that has made it more and more popular among Internet users. Most researchers focus on the better-known Twitter, however, Plurk has found a niche and becomes the leading type of micro-blog in Taiwan and many politicians enjoy using it for political communication. This study seeks to answer the question ＂What patterns do Taiwan Residents politicians exhibit when utilizing Plurk？＂. By combining Habermasian communicative action theory and Foot and Schneider＇s Web Sphere, this research attempts to form a theoretical framework for micro-blogs. In-depth interviews were conducted with Taiwan Residents politicians at various levels and it was discovered that the broad pattern of political communication via Plurk may be characterised in Habermasian terms as strategic, through information broadcasting, public opinion formation, and political mobilization. In addition, this research shows that Taiwan Residents politicians use Plurk to gather information and ideas in exchanges which have dialogic elements.展开更多
User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influenc...User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influence on the information multi-step communication in a micro-biog. The multi-steps of information communication are divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from the Sina micro-blog is collected to construct the model by means of an approach based on structural equations that uses the Partial Least Squares （PLS） technique. Our experimental results indicate that the dimensions of the number of fans and their authority significantly impact the information of first-step conxrnunication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.展开更多
Taking Meteorological Knowledge official micro-blog ＂ Meteorological Knowledge＂ and Beijing Meteorological Bureau official micro-blog ＂ Meteorology Beijing＂ as the research objects,the differences of different typ...Taking Meteorological Knowledge official micro-blog ＂ Meteorological Knowledge＂ and Beijing Meteorological Bureau official micro-blog ＂ Meteorology Beijing＂ as the research objects,the differences of different types of meteorological government micro-blog and the contribution of each factor were analyzed by comparing changes of the number of fans,micro-blog comments and forwarding and other key elements during March1 to May 31 in 2012. The results showed that the number of fans was one of important indexes to determine the influence of meteorological government micro-blog,and the high active fans played a more prominent role. During the period of study,the fans number of ＂ Meteorology Beijing＂ was far more than ＂ Meteorological Knowledge＂,the daily micro-blog released number and comment forwarding number were both more than ＂ Meteorological knowledge＂,but the proportion of active fans of ＂ Meteorological knowledge＂ was larger than ＂ Meteorology Beijing＂. Timeliness was of greater contribution to advancing the meteorological government micro-blog influence. During the period of study,the proportions of comments and forwarding number of morning weather forecast were the largest,the evening weather forecast took the second place,and the noon was the smallest.But the influence of noon weather forecast micro-blog increased most highly approximately by 15% because of the higher timeliness. The content and form also made great contribution to the influence of meteorological government micro-blog. Comparison of different types of meteorological micro-blog showed that,the number of fans and the influence of meteorological government micro-blog which mainly published real-time meteorological information were larger than which mainly published meteorological popular science knowledge.展开更多
In order to improve the service level of the University Library and increase the utilization rate of the students' libraries, the domestic libraries began to use micro-blog and WeChat. The use of micro-blog and We...In order to improve the service level of the University Library and increase the utilization rate of the students' libraries, the domestic libraries began to use micro-blog and WeChat. The use of micro-blog and WeChat is in line with the characteristics of college students and can improve the service level of University libraries effectively. In this article, I will start with introducing micro- blog and WeChat, briefly describe the current situation of using micro-blog and WeChat in university libraries, and the measures to improve the service level of university libraries by using micro-blog and WeChat.展开更多
Opinion leaders play a critical role in network public opinion transmission, their perspectives can shape public opinion and influence policy formulation and implementation. The paper is based on SINA micro-blog, by s...Opinion leaders play a critical role in network public opinion transmission, their perspectives can shape public opinion and influence policy formulation and implementation. The paper is based on SINA micro-blog, by structural equation model, as Fudan Poisoning Event for example, On the basis of in-depth analysis of opinion leaders effect on network public opinion transmission characteristics, Explore the opinion leaders on the influence of network public opinion transmission mechanism, in order to better play a role of opinion leader＇s guidance of public opinion.展开更多
Personality prediction on social network has become a hot topic.At present,most studies are using single-task classification/regression machine learning.However,this method ignores the potential association between mu...Personality prediction on social network has become a hot topic.At present,most studies are using single-task classification/regression machine learning.However,this method ignores the potential association between multiple tasks.Also an ideal prediction result is difficult to achieve based on the small scale training data,since it is not easy to get a lot of social network data with personality label samples.In this paper,a robust multi-task learning method(RMTL)is proposed to predict Big-Five personality on Micro-blog.We aim to learn five tasks simultaneously by extracting and utilizing appropriate shared information among multiple tasks as well as identifying irrelevant tasks.For a set of Sina Micro-blog users’information and personality labeled data retrieved by questionnaire,we validate the RMTL method by comparing it with 4 single-task learning methods and the mere multi-task learning.Our experiment demonstrates that the proposed RMTL can improve the precision rate,recall rate of the prediction and F value.展开更多
Beijing Municipal Public Security Bureau and related departments have issued a regulation to strengthen the management of Twitter-like micro-blogs.The regulation,issued on December 16,2011,requires Internet companies ...Beijing Municipal Public Security Bureau and related departments have issued a regulation to strengthen the management of Twitter-like micro-blogs.The regulation,issued on December 16,2011,requires Internet companies registered in the city and offering micro-blogging services to have their users register with their real names and personal information.Users＇ identity information must be validated before they begin blogging.Starting March 16,2012,microbloggers without real-name registration will not be allowed to blog.展开更多
Exploration of influential people is really a hot issue for effective viral marketing these days. Prior studies overlooked to consider the influence of interaction between users and the authority of users during infor...Exploration of influential people is really a hot issue for effective viral marketing these days. Prior studies overlooked to consider the influence of interaction between users and the authority of users during information dissemination. In this article, we proposed an innovative concept by employing communication strength and authority in order to explore the influential people. First, we calculated communication strength by three kinds of actions including retweets, comments and mentions. Second, we deliberated authority metric by employing total times getting re-tweeted, number of tweets and followers of a user. Then, we propose a novel algorithm called Influential People Label Propagation Algorithm(IPLPA) that considers the proposed metric to explore the influential people in micro-blog networks. We performed extensive experiments to measure the influence and rank of each person within micro-blog network. The comparative study presents that IPLPA depicted effective people while baseline algorithms retrieved low influenced people at top rank. Additionally, influence dissemination also measured for obtained influential people in order to validate proposed concept. The findings of this study would be useful for viral marketing and advertisement campaigns.展开更多
The existing fuzzy clustering algorithm (FCM) is sensitive to the initial center point. And simple clustering of distance can neither discovery hot topics on the Network accurately nor solve the problem of semantic di...The existing fuzzy clustering algorithm (FCM) is sensitive to the initial center point. And simple clustering of distance can neither discovery hot topics on the Network accurately nor solve the problem of semantic diversity in Chinese. Aiming at these problems, an improved fuzzy clustering method based on dynamic adaptive step firefly algorithm (FA) was proposed. The clustering center was optimized by improved FA, and the FCM was used to complete the final clustering. First, the step length was adjusted adaptively in the current iteration, and the relationship between fireflies was established according to text similarity, then the topic influence value was applied to fuzzy clustering algorithm to improve fitness function optimization. In this process the topic was categorized into the closest class to the cluster center, which can reduce the impact of topic variation. Finally, according to the level of influence value got hot topics. By collecting real data from Sina micro-blog, the effectiveness of the algorithm was verified by experiments, and the accuracy of topic discovery was improved greatly.展开更多
Micro-blog has become new information and communication tools known and used by university teachers and students, which has an important significance of institutions of higher learning. In this paper, from the nature ...Micro-blog has become new information and communication tools known and used by university teachers and students, which has an important significance of institutions of higher learning. In this paper, from the nature and function of micro-blog, the author analyzed the function of micm-blog in institutions of higher learning and proposed that the application of micro blog is of great Significance for the development and progress of institutions of higher education.展开更多
The advent of the time of big data along with social networks makes the visualization and analysis of networks information become increasingly important in many fields. Based on the information from social networks, t...The advent of the time of big data along with social networks makes the visualization and analysis of networks information become increasingly important in many fields. Based on the information from social networks, the idea of information visualization and development of tools are presented. Popular social network micro-blog （＇Weibo＇） is chosen to realize the process of users＇ interest and communications data analysis. User interest visualization methods are discussed and chosen and programs are developed to collect users＇ interest and describe it by graph. The visualization results may be used to provide the commercial recommendation or social investigation application for decision makers.展开更多
文摘The study makes a contrastive analysis of the differences in the comments of people from different social status in their Mini-blogs.It aims to find the manifestations of those differences by analyzing the underlying causes and provide constructive suggestions on how to build a more harmonious public platform,which is of its great significance.
基金supported by National Natural Science Foundation of China under Grants No. 60933005, No. 91124002under Grants No. 012505, No. 2011AA010702, No. 2012AA01A401, No. 2012AA01A402 (863 program)+1 种基金under Grant No.2011A010 (242)NSTM under Grants No.2012BAH38B04, No.2012BAH38B06
文摘In micro-blogging contexts such as Twitter,the number of content producers can easily reach tens of thousands,and many users can participate in discussion of any given topic.While many users can introduce diversity,as not all users are equally influential,it makes it challenging to identify the true influencers,who are generally rated as being interesting and authoritative on a given topic.In this study,the influence of users is measured by performing random walks of the multi-relational data in micro-blogging:retweet,reply,reintroduce,and read.Due to the uncertainty of the reintroduce and read operations,a new method is proposed to determine the transition probabilities of uncertain relational networks.Moreover,we propose a method for performing the combined random walks for the multi-relational influence network,considering both the transition probabilities for intra-and inter-networking.Experiments were conducted on a real Twitter dataset containing about 260 000 users and 2.7million tweets,and the results show that our method is more effective than TwitterRank and other methods used to discover influencers.
基金Projects(61573380,61303185)supported by the National Natural Science Foundation of ChinaProject(13BTQ052)supported by the National Social Science Foundation of China+1 种基金Project(2016M592450)supported by the China Postdoctoral Science FoundationProject(2016JJ4119)supported by the Hunan Provincial Natural Science Foundation of China
文摘With the rising and spreading of micro-blog, the sentiment classification of short texts has become a research hotspot. Some methods have been developed in the past decade. However, since the Chinese and English are different in language syntax, semantics and pragmatics, sentiment classification methods that are effective for English twitter may fail on Chinese micro-blog. In addition, the colloquialism and conciseness of short Chinese texts introduces additional challenges to sentiment classification. In this work, a novel hybrid learning model was proposed for sentiment classification of Chinese micro-blogs, which included two stages. In the first stage, emotional scores were calculated over the whole dataset by utilizing an improved Chinese-oriented sentiment dictionary classification method. Data with extremely high or low scores were directly labeled. In the second stage, the remaining data were labeled by using an integrated classification method based on sentiment dictionary, support vector machine(SVM) and k-nearest neighbor(KNN). An improved feature selection method was adopted to enhance the discriminative power of the selected features. The two-stage hybrid framework made the proposed method effective for sentiment classification of Chinese micro-blogs. Experiments on the COAE2014(Chinese Opinion Analysis Evaluation 2014) dataset show that the proposed method outperforms other schemes.
文摘In this work, a rumor’s spreading and controlling in a directed Micro-blog user network being consisted with 580 000 nodes are simulated. By defining some authority nodes that release anti-rumor information as the prevention strategy, the effect of the nodes’ role in network on rumor’s suppression is studied. The findings show that rumor will be spread out fast and reach a stable level within limited steps. The suppression of rumor is more predominated by the intervening opportunity, the earlier the intervention strategy was implemented, the better the rumor’s controlling could be achieved. The controlling effect is less relevant with the role of the authority nodes in network.
文摘After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group events to upgrade and expand the scope of harm. It is difficult to deal. So public opinion control is very important. In this paper, we establish an influence model for spreading of public opinion based on SIR model. Through the political analysis, this paper finds that the network group events will subside, but the influence scope, time and ability of event cannot be ignored. As a result of this study, the corresponding strategies are put forward in this paper.
文摘The use of social media in political communication has demonstrated its significance by the example of Arab Spring and the 2008 US presidential election, but its role in non-western democratic countries like Taiwan has rarely been examined. Micro-blogs share some characteristics with other types of social media but operate in a lighter way that has made it more and more popular among Internet users. Most researchers focus on the better-known Twitter, however, Plurk has found a niche and becomes the leading type of micro-blog in Taiwan and many politicians enjoy using it for political communication. This study seeks to answer the question ＂What patterns do Taiwan Residents politicians exhibit when utilizing Plurk？＂. By combining Habermasian communicative action theory and Foot and Schneider＇s Web Sphere, this research attempts to form a theoretical framework for micro-blogs. In-depth interviews were conducted with Taiwan Residents politicians at various levels and it was discovered that the broad pattern of political communication via Plurk may be characterised in Habermasian terms as strategic, through information broadcasting, public opinion formation, and political mobilization. In addition, this research shows that Taiwan Residents politicians use Plurk to gather information and ideas in exchanges which have dialogic elements.
基金supported by the National Natural Science Foundation of China(Grant No.60873246)China Information Technology Security Evaluation Center
文摘User influence is generally considered as one of the most critical factors that affect information cascading spreading. Based on this common assumption, this paper proposes a theoretical model to examine user influence on the information multi-step communication in a micro-biog. The multi-steps of information communication are divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from the Sina micro-blog is collected to construct the model by means of an approach based on structural equations that uses the Partial Least Squares （PLS） technique. Our experimental results indicate that the dimensions of the number of fans and their authority significantly impact the information of first-step conxrnunication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.
基金Supported by the Public Industry(Meteorology) Special Funds for Scientific Research Projects(GYHY201106037)
文摘Taking Meteorological Knowledge official micro-blog ＂ Meteorological Knowledge＂ and Beijing Meteorological Bureau official micro-blog ＂ Meteorology Beijing＂ as the research objects,the differences of different types of meteorological government micro-blog and the contribution of each factor were analyzed by comparing changes of the number of fans,micro-blog comments and forwarding and other key elements during March1 to May 31 in 2012. The results showed that the number of fans was one of important indexes to determine the influence of meteorological government micro-blog,and the high active fans played a more prominent role. During the period of study,the fans number of ＂ Meteorology Beijing＂ was far more than ＂ Meteorological Knowledge＂,the daily micro-blog released number and comment forwarding number were both more than ＂ Meteorological knowledge＂,but the proportion of active fans of ＂ Meteorological knowledge＂ was larger than ＂ Meteorology Beijing＂. Timeliness was of greater contribution to advancing the meteorological government micro-blog influence. During the period of study,the proportions of comments and forwarding number of morning weather forecast were the largest,the evening weather forecast took the second place,and the noon was the smallest.But the influence of noon weather forecast micro-blog increased most highly approximately by 15% because of the higher timeliness. The content and form also made great contribution to the influence of meteorological government micro-blog. Comparison of different types of meteorological micro-blog showed that,the number of fans and the influence of meteorological government micro-blog which mainly published real-time meteorological information were larger than which mainly published meteorological popular science knowledge.
文摘In order to improve the service level of the University Library and increase the utilization rate of the students' libraries, the domestic libraries began to use micro-blog and WeChat. The use of micro-blog and WeChat is in line with the characteristics of college students and can improve the service level of University libraries effectively. In this article, I will start with introducing micro- blog and WeChat, briefly describe the current situation of using micro-blog and WeChat in university libraries, and the measures to improve the service level of university libraries by using micro-blog and WeChat.
文摘Opinion leaders play a critical role in network public opinion transmission, their perspectives can shape public opinion and influence policy formulation and implementation. The paper is based on SINA micro-blog, by structural equation model, as Fudan Poisoning Event for example, On the basis of in-depth analysis of opinion leaders effect on network public opinion transmission characteristics, Explore the opinion leaders on the influence of network public opinion transmission mechanism, in order to better play a role of opinion leader＇s guidance of public opinion.
文摘Personality prediction on social network has become a hot topic.At present,most studies are using single-task classification/regression machine learning.However,this method ignores the potential association between multiple tasks.Also an ideal prediction result is difficult to achieve based on the small scale training data,since it is not easy to get a lot of social network data with personality label samples.In this paper,a robust multi-task learning method(RMTL)is proposed to predict Big-Five personality on Micro-blog.We aim to learn five tasks simultaneously by extracting and utilizing appropriate shared information among multiple tasks as well as identifying irrelevant tasks.For a set of Sina Micro-blog users’information and personality labeled data retrieved by questionnaire,we validate the RMTL method by comparing it with 4 single-task learning methods and the mere multi-task learning.Our experiment demonstrates that the proposed RMTL can improve the precision rate,recall rate of the prediction and F value.
文摘Beijing Municipal Public Security Bureau and related departments have issued a regulation to strengthen the management of Twitter-like micro-blogs.The regulation,issued on December 16,2011,requires Internet companies registered in the city and offering micro-blogging services to have their users register with their real names and personal information.Users＇ identity information must be validated before they begin blogging.Starting March 16,2012,microbloggers without real-name registration will not be allowed to blog.
基金supported in part by the following funding agencies of China:National Natural Science Foundation under Grant 61170274,61602050 and U1534201
文摘Exploration of influential people is really a hot issue for effective viral marketing these days. Prior studies overlooked to consider the influence of interaction between users and the authority of users during information dissemination. In this article, we proposed an innovative concept by employing communication strength and authority in order to explore the influential people. First, we calculated communication strength by three kinds of actions including retweets, comments and mentions. Second, we deliberated authority metric by employing total times getting re-tweeted, number of tweets and followers of a user. Then, we propose a novel algorithm called Influential People Label Propagation Algorithm(IPLPA) that considers the proposed metric to explore the influential people in micro-blog networks. We performed extensive experiments to measure the influence and rank of each person within micro-blog network. The comparative study presents that IPLPA depicted effective people while baseline algorithms retrieved low influenced people at top rank. Additionally, influence dissemination also measured for obtained influential people in order to validate proposed concept. The findings of this study would be useful for viral marketing and advertisement campaigns.
文摘The existing fuzzy clustering algorithm (FCM) is sensitive to the initial center point. And simple clustering of distance can neither discovery hot topics on the Network accurately nor solve the problem of semantic diversity in Chinese. Aiming at these problems, an improved fuzzy clustering method based on dynamic adaptive step firefly algorithm (FA) was proposed. The clustering center was optimized by improved FA, and the FCM was used to complete the final clustering. First, the step length was adjusted adaptively in the current iteration, and the relationship between fireflies was established according to text similarity, then the topic influence value was applied to fuzzy clustering algorithm to improve fitness function optimization. In this process the topic was categorized into the closest class to the cluster center, which can reduce the impact of topic variation. Finally, according to the level of influence value got hot topics. By collecting real data from Sina micro-blog, the effectiveness of the algorithm was verified by experiments, and the accuracy of topic discovery was improved greatly.
文摘Micro-blog has become new information and communication tools known and used by university teachers and students, which has an important significance of institutions of higher learning. In this paper, from the nature and function of micro-blog, the author analyzed the function of micm-blog in institutions of higher learning and proposed that the application of micro blog is of great Significance for the development and progress of institutions of higher education.
文摘The advent of the time of big data along with social networks makes the visualization and analysis of networks information become increasingly important in many fields. Based on the information from social networks, the idea of information visualization and development of tools are presented. Popular social network micro-blog （＇Weibo＇） is chosen to realize the process of users＇ interest and communications data analysis. User interest visualization methods are discussed and chosen and programs are developed to collect users＇ interest and describe it by graph. The visualization results may be used to provide the commercial recommendation or social investigation application for decision makers.
