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Volumn 7808 LNCS, Issue , 2013, Pages 310-322

Social network user influence dynamics prediction

Author keywords

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

Indexed keywords

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; CONTINUOUS-TIME MARKOV PROCESS; DYNAMIC INFORMATION; INFLUENTIAL USERS; INFORMATION DIFFUSION MODELS; PREDICTION PERFORMANCE; SOCIAL MEDIA; TIME SERIES FORECASTING;

EID: 84875819342     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37401-2_32     Document Type: Conference Paper
Times cited : (11)

References (24)
  • 1
    • 20444434710 scopus 로고    scopus 로고
    • How to search a social network
    • Adamic, L.A., Adar, E.: 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
  • 3
    • 79952397059 scopus 로고    scopus 로고
    • Everyone's an influencer: Quantifying influence on twitter
    • Bakshy, E., Hofman, J.M., Mason, W.A., Watts, D.J.: Everyone's an influencer: quantifying influence on twitter. In: WSDM, pp. 65-74 (2011)
    • (2011) WSDM , pp. 65-74
    • Bakshy, E.1    Hofman, J.M.2    Mason, W.A.3    Watts, D.J.4
  • 4
    • 84890768200 scopus 로고    scopus 로고
    • Measuring user influence in twitter: The million follower fallacy
    • AAAI
    • Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P.: Measuring user influence in twitter: The million follower fallacy. In: AAAI, ICWSM (2010)
    • (2010) ICWSM
    • Cha, M.1    Haddadi, H.2    Benevenuto, F.3    Gummadi, K.P.4
  • 5
    • 0035789667 scopus 로고    scopus 로고
    • Mining the network value of customers
    • ACM
    • Domingos, P., Richardson, M.: Mining the network value of customers. In: SIGKDD, pp. 57-66. ACM (2001)
    • (2001) SIGKDD , pp. 57-66
    • Domingos, P.1    Richardson, M.2
  • 7
    • 84856138936 scopus 로고    scopus 로고
    • Predicting influential users in online social networks
    • abs/1005.4882
    • Ghosh, R., Lerman, K.: Predicting influential users in online social networks. CoRR, abs/1005.4882 (2010)
    • (2010) CoRR
    • Ghosh, R.1    Lerman, K.2
  • 8
    • 77950933438 scopus 로고    scopus 로고
    • Learning influence probabilities in social networks
    • Goyal, A., Bonchi, F., Lakshmanan, L.V.S.: Learning influence probabilities in social networks. In: WSDM, pp. 241-250 (2010)
    • (2010) WSDM , pp. 241-250
    • Goyal, A.1    Bonchi, F.2    Lakshmanan, L.V.S.3
  • 9
    • 19944399438 scopus 로고    scopus 로고
    • Information diffusion through blogspace
    • ACM
    • Gruhl, D., Guha, R., Liben-Nowell, D., Tomkins, A.: Information diffusion through blogspace. In: WWW, pp. 491-501. ACM (2004)
    • (2004) WWW , pp. 491-501
    • Gruhl, D.1    Guha, R.2    Liben-Nowell, D.3    Tomkins, A.4
  • 10
    • 7444220174 scopus 로고    scopus 로고
    • Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
    • Advances in Knowledge Discovery and Data Mining
    • Huang, Q., Yang, Q., Huang, J.Z., Ng, M.K.: Mining of web-page visiting patterns with continuous-time markov models. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 549-558. Springer, Heidelberg (2004) (Pubitemid 38824940)
    • (2004) LECTURE NOTES in COMPUTER SCIENCE , Issue.3056 , pp. 549-558
    • Huang, Q.1    Yang, Q.2    Huang, J.Z.3    Ng, M.K.4
  • 11
    • 33747172362 scopus 로고    scopus 로고
    • Maximizing the spread of influence through a social network
    • Kempe, D., Kleinberg, J., Tardos, É.: Maximizing the spread of influence through a social network. In: SIGKDD, pp. 137-146 (2003)
    • (2003) SIGKDD , pp. 137-146
    • Kempe, D.1    Kleinberg, J.2    Tardos, É.3
  • 12
    • 77954619566 scopus 로고    scopus 로고
    • What is twitter, a social network or a news media?
    • Kwak, H., Lee, C., Park, H., Moon, S.: What is twitter, a social network or a news media? In: WWW, pp. 591-600 (2010)
    • (2010) WWW , pp. 591-600
    • Kwak, H.1    Lee, C.2    Park, H.3    Moon, S.4
  • 13
    • 57349156602 scopus 로고    scopus 로고
    • Browserank: Letting web users vote for page importance
    • Liu, Y., Gao, B., Liu, T.Y., Zhang, Y., Ma, Z., He, S., Li, H.: Browserank: letting web users vote for page importance. In: SIGIR, pp. 451-458 (2008)
    • (2008) SIGIR , pp. 451-458
    • Liu, Y.1    Gao, B.2    Liu, T.Y.3    Zhang, Y.4    Ma, Z.5    He, S.6    Li, H.7
  • 16
    • 84954159636 scopus 로고    scopus 로고
    • Rt to win! predicting message propagation in twitter
    • Petrovic, S., Osborne, M., Lavrenko, V.: Rt to win! predicting message propagation in twitter. In: 5th ICWSM (2011)
    • (2011) 5th ICWSM
    • Petrovic, S.1    Osborne, M.2    Lavrenko, V.3
  • 17
    • 0242456823 scopus 로고    scopus 로고
    • Mining knowledge-sharing sites for viral marketing
    • Richardson, M., Domingos, P.: Mining knowledge-sharing sites for viral marketing. In: SIGKDD, pp. 61-70 (2002)
    • (2002) SIGKDD , pp. 61-70
    • Richardson, M.1    Domingos, P.2
  • 19
    • 78049231434 scopus 로고    scopus 로고
    • Efficient estimation of cumulative influence for multiple activation information diffusion model with continuous time delay
    • Zhang, B.-T., Orgun, M.A. (eds.) PRICAI 2010. Springer, Heidelberg
    • Saito, K., Kimura, M., Ohara, K., Motoda, H.: Efficient estimation of cumulative influence for multiple activation information diffusion model with continuous time delay. In: Zhang, B.-T., Orgun, M.A. (eds.) PRICAI 2010. LNCS, vol. 6230, pp. 244-255. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6230 , pp. 244-255
    • Saito, K.1    Kimura, M.2    Ohara, K.3    Motoda, H.4
  • 20
    • 84875854513 scopus 로고    scopus 로고
    • Generative models of information diffusion with asynchronous timedelay
    • Saito, K., Kimura, M., Ohara, K., Motoda, H.: Generative models of information diffusion with asynchronous timedelay. JMLR - Proceedings Track 13, 193-208 (2010)
    • (2010) JMLR - Proceedings Track , vol.13 , pp. 193-208
    • Saito, K.1    Kimura, M.2    Ohara, K.3    Motoda, H.4
  • 21
    • 35348842925 scopus 로고    scopus 로고
    • Information flow modeling based on diffusion rate for prediction and ranking
    • Song, X., Chi, Y., Hino, K., Tseng, B.L.: Information flow modeling based on diffusion rate for prediction and ranking. In: WWW, pp. 191-200 (2007)
    • (2007) WWW , pp. 191-200
    • Song, X.1    Chi, Y.2    Hino, K.3    Tseng, B.L.4
  • 22
    • 33750374555 scopus 로고    scopus 로고
    • Personalized recommendation driven by information flow
    • Song, X., Tseng, B.L., Lin, C.-Y., Sun, M.-T.: Personalized recommendation driven by information flow. In: SIGIR, pp. 509-516 (2006)
    • (2006) SIGIR , pp. 509-516
    • Song, X.1    Tseng, B.L.2    Lin, C.-Y.3    Sun, M.-T.4
  • 24
    • 77950897279 scopus 로고    scopus 로고
    • Twitterrank: Finding topic-sensitive influential twitterers
    • Weng, J., Lim, E.P., Jiang, J., He, Q.: Twitterrank: finding topic-sensitive influential twitterers. In: WSDM, pp. 261-270 (2010)
    • (2010) WSDM , pp. 261-270
    • Weng, J.1    Lim, E.P.2    Jiang, J.3    He, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.