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535
Predicting influential users in online social networks
- IN: SNA-KDD: PROCEEDINGS OF KDD WORKSHOP ON SOCIAL NETWORK ANALYSIS
, 2010
"... ..."
A Model For Predicting Influential Users In Social Network
"... Abstract — In the recent past and in the envisaged future of global business scenario, social networking platform such as: Face book, Twitter, Google plus +, LinkedIn, Orkut etc are visioned to get information, opinions, likes and dislikes, profile matching etc. These inputs are very essential param ..."
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in nature as it evolves over period of time by adding or deleting nodes and edges. The study of influential members in a social network is an important research question in social network analysis. In order to find the most influential person, the most central node has to be identified. Centrality
ProfileRank: Finding Relevant Content and Influential Users based on Information Diffusion ∗
"... Understanding information diffusion processes that take place on the Web, specially in social media, is a fundamental step towards the design of effective information diffusion mechanisms, recommendation systems, and viral marketing/advertising campaigns. Two key concepts in information diffusion ar ..."
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Cited by 1 (0 self)
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of identifying influential users and relevant content in information diffusion data. We propose ProfileRank, a new information diffusion model based on random walks over a user-content graph. ProfileRank is a PageRank inspired model that exploits the principle that relevant content is created and propagated
Review On Finding Relevant Content and Influential Users based on Information Diffusion
"... Abstract — Understanding information diffusion processes that take place on the Web, specially in social media, is a fundamental step towards the design of effective information diffusion mechanisms, recommendation systems, and viral marketing. Two key concepts in information diffusion are influence ..."
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are influence and relevance. Ability to popularize content in an online community is the influence. Influentials introduce relevant content, in the sense that such content satisfies the information needs of a significant portion of this community.We describe the problem of identifying influential users
Twitterrank: finding topic-sensitive influential twitterers
- IN IN PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING
, 2010
"... This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called “following”, in which each user can choose who she wants to “follow” to receive tweets from without requir ..."
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Cited by 285 (12 self)
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This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called “following”, in which each user can choose who she wants to “follow” to receive tweets from without
Measuring user influence in Twitter: The million follower fallacy
- in ICWSM ’10: Proceedings of international AAAI Conference on Weblogs and Social
, 2010
"... Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information and hence indicate a user’s influence on others—a concept that is crucial in sociology ..."
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Cited by 401 (24 self)
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several interesting observations. First, popular users who have high indegree are not necessarily influential in terms of spawning retweets or mentions. Second, most influential users can hold significant influence over a variety of topics. Third, influence is not gained spontaneously or accidentally
What is Twitter, a Social Network or a News Media?
"... Twitter, a microblogging service less than three years old, commands more than 41 million users as of July 2009 and is growing fast. Twitter users tweet about any topic within the 140-character limit and follow others to receive their tweets. The goal of this paper is to study the topological charac ..."
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Cited by 991 (12 self)
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-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks [28]. In order to identify influentials on Twitter, we have ranked users by the number of followers and by PageRank and found two rankings to be similar.
RESEARCH INTERESTS Social Commerce Topic Detection and Tracking Dynamic Social Network Analysis Influential User/Opinion Leader Finding in Online Social Media Probabilistic Graphical Model INTERNSHIP EXPERIENCE
"... Build Ontology and its corresponding Lucene index Leverage the power of Ontology to improve the performance of text clustering and search Implement and integrate new module to the prototype system File two inventions and publish one peer-reviewed papers. ..."
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Build Ontology and its corresponding Lucene index Leverage the power of Ontology to improve the performance of text clustering and search Implement and integrate new module to the prototype system File two inventions and publish one peer-reviewed papers.
Identifying the influential bloggers in a community
- In WSDM ’08: Proceedings of the international conference on Web search and web data mining
, 2008
"... Blogging becomes a popular way for a Web user to publish information on the Web. Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide suggestions, report news, and form groups in Blogosphere. Bloggers form their virtual communities of similar interests. Activities ..."
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Cited by 112 (22 self)
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Blogging becomes a popular way for a Web user to publish information on the Web. Bloggers write blog posts, share their likes and dislikes, voice their opinions, provide suggestions, report news, and form groups in Blogosphere. Bloggers form their virtual communities of similar interests
Results 1 - 10
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535
