Identifying the Topic-Specific Influential Users in Twitter
暂无分享,去创建一个
[1] Isabel Anger,et al. Measuring influence on Twitter , 2011, i-KNOW '11.
[2] Taher H. Haveliwala. Topic-sensitive PageRank , 2002, IEEE Trans. Knowl. Data Eng..
[3] Junying Yu,et al. Notice of RetractionTypology and influence analysis of opinion leader: A case study on fashion online shopping , 2011, 2011 International Conference on E-Business and E-Government (ICEE).
[4] Panayiotis Bozanis,et al. Identifying the Productive and Influential Bloggers in a Community , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[5] Will Webberley,et al. Retweeting: A study of message-forwarding in twitter , 2011, 2011 Workshop on Mobile and Online Social Networks.
[6] Xue Li,et al. Notice of RetractionThe topology analyze of blogosphere through social network method , 2011, 2011 Seventh International Conference on Natural Computation.
[7] Duncan J. Watts,et al. Who says what to whom on twitter , 2011, WWW.
[8] Amit P. Sheth,et al. Understanding User-Community Engagement by Multi-faceted Features: A Case Study on Twitter , 2011 .
[9] R. Rosenfeld,et al. Two decades of statistical language modeling: where do we go from here? , 2000, Proceedings of the IEEE.
[10] Virgílio A. F. Almeida,et al. Detecting Evangelists and Detractors on Twitter , 2010 .
[11] Freimut Bodendorf,et al. Detecting opinion leaders and trends in online social networks , 2009, CIKM-SWSM.
[12] Philip S. Yu,et al. Identifying the influential bloggers in a community , 2008, WSDM '08.
[13] Dhiraj Murthy,et al. Understanding Cancer-Based Networks in Twitter Using Social Network Analysis , 2011, 2011 IEEE Fifth International Conference on Semantic Computing.
[14] Daniel W. Drezner,et al. The power and politics of blogs , 2007 .
[15] Qinghua Zhu,et al. Study on the Impacts of Opinion Leader in Online Consuming Decision , 2011, 2011 International Joint Conference on Service Sciences.
[16] Mor Naaman,et al. Is it really about me?: message content in social awareness streams , 2010, CSCW '10.
[17] A. Faisal,et al. Scaling-Laws of Human Broadcast Communication Enable Distinction between Human, Corporate and Robot Twitter Users , 2013, PloS one.
[18] N. Kokash. An introduction to heuristic algorithms , 2005 .
[19] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[20] Panayiotis Bozanis,et al. Identifying Influential Bloggers: Time Does Matter , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.
[21] Qi He,et al. TwitterRank: finding topic-sensitive influential twitterers , 2010, WSDM '10.
[22] Ahmed Rafea,et al. IDENTIFYING THE TOPIC-SPECIFIC INFLUENTIAL USERS AND OPINION LEADERS IN TWITTER , 2013 .
[23] Chen Jing-min,et al. The social network analysis of political blogs in people: Based on centrality , 2011, 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet).
[24] Susan T. Dumais,et al. Mark my words!: linguistic style accommodation in social media , 2011, WWW.
[25] Junlan Feng,et al. Measuring User Influence on Twitter Using Modified K-Shell Decomposition , 2011, The Social Mobile Web.
[26] J. Pennebaker,et al. The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods , 2010 .
[27] Sun Wen-jun,et al. A social network analysis on Blogospheres , 2008, 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings.
[28] Krishna P. Gummadi,et al. Measuring User Influence in Twitter: The Million Follower Fallacy , 2010, ICWSM.
[29] Daniel Dajun Zeng,et al. Finding leaders from opinion networks , 2009, 2009 IEEE International Conference on Intelligence and Security Informatics.
[30] Emre Kiciman,et al. Language Differences and Metadata Features on Twitter , 2010 .
[31] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[32] Alex Baron,et al. Using Signals from Text to Identify Roles within a Group , 2012, 2012 IEEE Sixth International Conference on Semantic Computing.
[33] Andreas Stolcke,et al. SRILM at Sixteen: Update and Outlook , 2011 .
[34] J. Berry. The Influentials: One American in Ten Tells the Other Nine How to Vote, Where to Eat, and What to Buy , 2003 .
[35] Andreas Stolcke,et al. SRILM - an extensible language modeling toolkit , 2002, INTERSPEECH.
[36] Yuval Shavitt,et al. A model of Internet topology using k-shell decomposition , 2007, Proceedings of the National Academy of Sciences.
[37] Jie Tang,et al. Detecting Community Kernels in Large Social Networks , 2011, 2011 IEEE 11th International Conference on Data Mining.
[38] Lei Peng,et al. Evaluating User Influence Based on the Properties of User in Social Networks , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.
[39] Devin Gaffney. Algorithmic transparency and the Klout score , 2012 .
[40] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[41] Daniel M. Romero,et al. Influence and Passivity in Social Media , 2011, ECML/PKDD.
[42] Zheng Li,et al. Measuring User Influence Based on Multiple Metrics on YouTube , 2015, 2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP).
[43] Duncan J. Watts,et al. Everyone's an influencer: quantifying influence on twitter , 2011, WSDM '11.
[44] Daniele Quercia,et al. In the Mood for Being Influential on Twitter , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[45] José del Campo-Ávila,et al. Analizying Factors to Increase the Influence of a Twitter User , 2011, PAAMS.
[46] F. Jelinek,et al. Perplexity—a measure of the difficulty of speech recognition tasks , 1977 .
[47] Lev Muchnik,et al. Identifying influential spreaders in complex networks , 2010, 1001.5285.
[48] Daniel M. Romero,et al. Influence and passivity in social media , 2010, ECML/PKDD.