메뉴 건너뛰기




Volumn 41, Issue 11, 2014, Pages 5115-5124

Social network user influence sense-making and dynamics prediction

Author keywords

Continuous Time Markov Process; Dynamic information diffusion; Influential users; Social media

Indexed keywords

ALGORITHMS; CONTINUOUS TIME SYSTEMS; CRACK PROPAGATION; MARKOV PROCESSES; SOCIAL NETWORKING (ONLINE);

EID: 84897982551     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.02.038     Document Type: Article
Times cited : (72)

References (31)
  • 1
    • 20444434710 scopus 로고    scopus 로고
    • How to search a social network
    • L.A. Adamic, and E. Adar How to search a social network Social Networks 27 2005 2005
    • (2005) Social Networks , vol.27 , pp. 2005
    • Adamic, L.A.1    Adar, E.2
  • 2
    • 42549105095 scopus 로고    scopus 로고
    • Identifying the influential bloggers in a community
    • Agarwal, N., Liu, H., Tang, L., & Yu, P. (2008). Identifying the influential bloggers in a community. In WSDM pp. 207-218.
    • (2008) WSDM , pp. 207-218
    • Agarwal, N.1    Liu, H.2    Tang, L.3    Yu, P.4
  • 4
    • 79952397059 scopus 로고    scopus 로고
    • Everyone's an influencer: Quantifying influence on twitter
    • Bakshy, E., Hofman, J., Mason, W., & Watts, D. (2011). Everyone's an influencer: Quantifying influence on twitter. In WSDM pp. 65-74.
    • (2011) WSDM , pp. 65-74
    • Bakshy, E.1    Hofman, J.2    Mason, W.3    Watts, D.4
  • 5
    • 84890768200 scopus 로고    scopus 로고
    • Measuring user influence in twitter: The million follower fallacy
    • Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. P. (2010). Measuring user influence in twitter: The million follower fallacy. In AAAI (ICWSM).
    • (2010) AAAI (ICWSM)
    • Cha, M.1    Haddadi, H.2    Benevenuto, F.3    Gummadi, K.P.4
  • 6
    • 77953984854 scopus 로고    scopus 로고
    • Short and tweet: Experiments on recommending content from information streams
    • Chen, J., Nairn, R., Nelson, L., Bernstein, M., & Chi, E. (2010). Short and tweet: Experiments on recommending content from information streams. In CHI pp. 1185-1194.
    • (2010) CHI , pp. 1185-1194
    • Chen, J.1    Nairn, R.2    Nelson, L.3    Bernstein, M.4    Chi, E.5
  • 8
    • 0035789667 scopus 로고    scopus 로고
    • Mining the network value of customers
    • ACM
    • P. Domingos, and M. Richardson Mining the network value of customers SIGKDD 2001 ACM 57 66
    • (2001) SIGKDD , pp. 57-66
    • Domingos, P.1    Richardson, M.2
  • 12
    • 84856138936 scopus 로고    scopus 로고
    • Predicting influential users in online social networks
    • abs/1005.4882
    • Ghosh, R., & Lerman, K. (2010). Predicting influential users in online social networks. In CoRR, abs/1005.4882.
    • (2010) CoRR
    • Ghosh, R.1    Lerman, K.2
  • 13
    • 33845467053 scopus 로고    scopus 로고
    • Inferring binary trust relationships in web-based social networks
    • J. Golbeck, and J. Hendler Inferring binary trust relationships in web-based social networks ACM TOIT 6 2006 497 529
    • (2006) ACM TOIT , vol.6 , pp. 497-529
    • Golbeck, J.1    Hendler, J.2
  • 14
    • 77950933438 scopus 로고    scopus 로고
    • Learning influence probabilities in social networks
    • Goyal, A., Bonchi, F., & Lakshmanan, L. V. (2010). Learning influence probabilities in social networks. In WSDM pp. 241-250.
    • (2010) WSDM , pp. 241-250
    • Goyal, A.1    Bonchi, F.2    Lakshmanan, L.V.3
  • 15
    • 19944399438 scopus 로고    scopus 로고
    • Information diffusion through blogspace
    • ACM
    • D. Gruhl, R. Guha, D. Liben-Nowell, and A. Tomkins Information diffusion through blogspace WWW 2004 ACM 491 501
    • (2004) WWW , pp. 491-501
    • Gruhl, D.1    Guha, R.2    Liben-Nowell, D.3    Tomkins, A.4
  • 16
    • 7444220174 scopus 로고    scopus 로고
    • Mining of web-page visiting patterns with continuous-time markov models
    • Q. Huang, Q. Yang, J. Huang, and M. Ng Mining of web-page visiting patterns with continuous-time markov models PAKDD 2004 549 558
    • (2004) PAKDD , pp. 549-558
    • Huang, Q.1    Yang, Q.2    Huang, J.3    Ng, M.4
  • 18
    • 33747172362 scopus 로고    scopus 로고
    • Maximizing the spread of influence through a social network
    • Kempe, D., Kleinberg, J., & Tardos, E. (2003). Maximizing the spread of influence through a social network. In SIGKDD pp. 137-146.
    • (2003) SIGKDD , pp. 137-146
    • Kempe, D.1    Kleinberg, J.2    Tardos, E.3
  • 19
    • 77954619566 scopus 로고    scopus 로고
    • What is twitter, a social network or a news media?
    • Kwak, H., Lee, C., Park, H., & Moon, S. (2010). What is twitter, a social network or a news media? In WWW pp. 591-600.
    • (2010) WWW , pp. 591-600
    • Kwak, H.1    Lee, C.2    Park, H.3    Moon, S.4
  • 21
    • 57349156602 scopus 로고    scopus 로고
    • Browserank: Letting web users vote for page importance
    • Liu, Y., Gao, B., Liu, T., Zhang, Y., Ma, Z., He, S., & Li, H. (2008). Browserank: Letting web users vote for page importance. In SIGIR pp. 451-458.
    • (2008) SIGIR , pp. 451-458
    • Liu, Y.1    Gao, B.2    Liu, T.3    Zhang, Y.4    Ma, Z.5    He, S.6    Li, H.7
  • 23
    • 0242456823 scopus 로고    scopus 로고
    • Mining knowledge-sharing sites for viral marketing
    • Richardson, M., & Domingos, P. (2002). Mining knowledge-sharing sites for viral marketing. In SIGKDD pp. 61-70.
    • (2002) SIGKDD , pp. 61-70
    • Richardson, M.1    Domingos, P.2
  • 25
    • 84893330773 scopus 로고    scopus 로고
    • Influence and passivity in social media
    • abs/1008.1253
    • Romero, D. M., Galuba, W., Asur, S., & Huberman, B. A. (2010). Influence and passivity in social media. In CoRR, abs/1008.1253.
    • (2010) CoRR
    • Romero, D.M.1    Galuba, W.2    Asur, S.3    Huberman, B.A.4
  • 26
    • 78049231434 scopus 로고    scopus 로고
    • Efficient estimation of cumulative influence for multiple activation information diffusion model with continuous time delay
    • Springer-Verlag
    • K. Saito, M. Kimura, K. Ohara, and H. Motoda Efficient estimation of cumulative influence for multiple activation information diffusion model with continuous time delay PRICAI 2010 Springer-Verlag 244 255
    • (2010) PRICAI , pp. 244-255
    • Saito, K.1    Kimura, M.2    Ohara, K.3    Motoda, H.4
  • 27
    • 84875854513 scopus 로고    scopus 로고
    • Generative models of information diffusion with asynchronous timedelay
    • K. Saito, M. Kimura, K. Ohara, and H. Motoda Generative models of information diffusion with asynchronous timedelay JMLR - proceedings track 13 2010 193 208
    • (2010) JMLR - Proceedings Track , vol.13 , pp. 193-208
    • Saito, K.1    Kimura, M.2    Ohara, K.3    Motoda, H.4
  • 28
    • 33750374555 scopus 로고    scopus 로고
    • Personalized recommendation driven by information flow
    • Song, X., Tseng, B. L., Lin, C. -Y., & Sun, M. -T. (2006). Personalized recommendation driven by information flow. In SIGIR pp. 509-516.
    • (2006) SIGIR , pp. 509-516
    • Song, X.1    Tseng, B.L.2    Lin, C.-Y.3    Sun, M.-T.4
  • 29
    • 35348842925 scopus 로고    scopus 로고
    • Information flow modeling based on diffusion rate for prediction and ranking
    • Song, X., Chi, Y., Hino, K., & Tseng, B. (2007). Information flow modeling based on diffusion rate for prediction and ranking. In WWW pp. 191-200.
    • (2007) WWW , pp. 191-200
    • Song, X.1    Chi, Y.2    Hino, K.3    Tseng, B.4
  • 30
    • 70350639694 scopus 로고    scopus 로고
    • Social influence analysis in large-scale networks
    • Tang, J., Sun, J., Wang, C., & Yang, Z. (2009). Social influence analysis in large-scale networks. In SIGKDD pp. 807-816.
    • (2009) SIGKDD , pp. 807-816
    • Tang, J.1    Sun, J.2    Wang, C.3    Yang, Z.4
  • 31
    • 77950897279 scopus 로고    scopus 로고
    • Twitterrank: Finding topic-sensitive influential twitterers
    • Weng, J., Lim, E., Jiang, J., & He, Q. (2010). Twitterrank: Finding topic-sensitive influential twitterers. In WSDM pp. 261-270.
    • (2010) WSDM , pp. 261-270
    • Weng, J.1    Lim, E.2    Jiang, J.3    He, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.