[1] Java A,Song X,et al.Why we twitter:understanding microblogging usage and communities[A].Proceedings of the Ninth WebKDD and First SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis[C].San Jose:ACM,2007.56-65.
[2] Weng J,Lim E P,Jiang J,et al.Twitterrank:finding topic-sensitive influential twitters[A].Proceedings of the Third ACM International Conference on Web Search and Data Mining[C].New York:ACM,2010.261-270.
[3] Budalakoti S,et al.Bimodal invitation-navigation fair bets model for authority identification in a social network[A].Proceedings of the Twenty-First International Conference on World Wide Web[C].Lyon:ACM,2012.709-718.
[4] Sun B,Ng V T.Identifying Influential Users by Their Postings in Social Networks[M].Berlin Heidelberg:Springer,2013.128-151.
[5] Pal A,Counts S.Identifying topical authorities in microblogs[A].Proceedings of the Fourth ACM International Conference on Web Search and Data Mining[C].Hong Kong:ACM,2011.45-54.
[6] 张伟哲,王佰玲,等.基于异质网络的意见领袖社区发现[J].电子学报,2012,40(10):1927-1932. Zhang W Z,Wang B L,et al.Public opinion leader community mining based on the heterogeneous network[J].Acta Electronica Sinica,2012,40(10):1927-1932.(in Chinese)
[7] Bakshy E,Hofman J M,et al.Everyone's an influencer:quantifying influence on twitter[A].Proceedings of the Fourth ACM International Conference on Web Search and Data Mining[C].Hong Kong:ACM,2011.65-74.
[8] Cha M,Haddadi H,et al.Measuring user influence in twitter:the million follower fallacy[A].Proceedings of the Fourth International Conference on Weblogs and Social Media[C].Washington,DC:AAAI,2010.10-17.
[9] Quercia D,Ellis J,et al.In the mood for being influential on twitter[A].Proceedings of the Third IEEE International Conference on Information Privacy,Security,Risk and Trust[C].Boston:IEEE,2011.307-314.
[10] Shen Y,et al.Emotion mining research on micro-blog[A].Proceedings of the First IEEE Symposium on Web Society[C].Lanzhou:IEEE,2009.71-75.
[11] Bollen J,et al.Modeling public mood and emotion:twitter sentiment and socio-economic phenomena[A].Proceedings of Nineteenth International World Wide Web Conference[C].Raleigh,North Carolina:ACM,2010.1-10.
[12] Zhu J,Wang B,Wu B.Social network users clustering based on multivariate time series of emotional behavior[J].The Journal of China Universities of Posts and Telecommunications,2014,21(2):21-31.
[13] Wang X,Jia J,Tang J,et al.Modeling emotion influence in image social networks[J].IEEE Transactions on Affective Computing,2015,63):1-13.
[14] Tang J,Zhang Y,Sun J,et al.Quantitative study of individual emotional states in social networks[J].IEEE Transactions on Affective Computing,2012,3(2):132-144.
[15] Wu B,Jia J,et al.Inferring emotions from social images leveraging influence analysis[A].The Third National Conference of Social Media Processing[C].Beijing:Springer,2014.141-154.
[16] Crandall D,Cosley D,et al.Feedback effects between similarity and social influence in online communities[A].Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining[C].Lasvegas:ACM,2008.160-168.
[17] Fond T La,Neville J.Randomization tests for distinguishing social influence and homophily effects[A].Proceedings of the Nineteenth International Conference on World Wide Web[C].Raleigh,North Carolina:ACM,2010.601-610.
[18] Yang Y,Cui P,et al.User interest and social influence based emotion prediction for individuals[A].Proceedings of the Twenty-First ACM International Conference on Multimedia[C].Barcelona:ACM,2013.785-788.
[19] Bollen J,Gonçalves B,et al.Happiness is assortative in online social networks[J].International Society for Artificial Life,2011,17(3):237-251.
[20] Kim S,et al.Do you feel what I feel? Social aspects of emotions in twitter conversations[A].Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media[C].Dublin:AAAI,2012.495-498.
[21] Kramer A D I,Guillory J E,et al.Experimental evidence of massive-scale emotional contagion through social networks[J].Proceedings of the National Academy of Sciences,2014,111(24):8788-8790.