Personalized influence maximization on social networks

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2013, Pages 199-208

  Guo, Jing ^a   Zhang, Peng ^b   Zhou, Chuan ^b   Cao, Yanan ^b   Guo, Li ^b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b Chinese Academy of Sciences   (China)

Author keywords

Influence maximization; Personalization; Social networks

Indexed keywords

APPROXIMATE ALGORITHMS; INFLUENCE MAXIMIZATIONS; INFLUENTIAL NODES; NETWORK INFLUENCES; OBJECTIVE FUNCTIONS; ON-LINE SOCIAL NETWORKS; PERSONALIZATIONS; PERSONALIZED SERVICE;

ALGORITHMS; KNOWLEDGE MANAGEMENT;

SOCIAL NETWORKING (ONLINE);

EID: 84889568232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505571     Document Type: Conference Paper

References (30)

1. David Kempe, Jon Kleinberg, and Eva Tardos. Maximizing the spread of influence through a social network. In Proc. of KDD, pages 137-146, 2003.
2. Xiaodan Song, Belle L. Tseng, Ching-Yung Lin, and Ming-Ting Sun. Personalized recommendation driven by information flow. In Proc. of SIGIR, pages 509-516, 2006.
3. Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne Vanbriesen, and Natalie Glance. Cost-effective outbreak detection in networks. In Proc. of KDD, pages 420-429, 2007.
4. Jianshu Weng, Ee-Peng Lim, Jing Jiang, and Qi He. Twitterrank: Finding topic-sensitive influential twitterers. In Proc. of WSDM, pages 261-270, 2010.
5. Eytan Bakshy, Winter A. Mason, Jake M. Hofman, and Duncan J. Watts. Everyone's an influencer: Quantifying influence on twitter. In Proc. of WSDM, pages 65-74, 2011.
6. Elchanan Mossel and Sebastien Roch. On the submodularity of influence in social networks. In Proc. of STOC, pages 128-134, 2007.
7. Domingos Pedro and Richardson Matt. Mining the network value of customers. In Proc. of KDD, pages 57-66, 2001.
8. Richardson Matthew and Domingos Pedro. Mining knowledge-sharing sites for viral marketing. In Proc. of KDD, pages 61-70, 2002.
9. Masahiro Kimura and Kazumi Saito. Tractable models for information diffusion in social networks. In Proc. of PKDD, pages 259-271, 2006.
10. Masahiro Kimura, Kazumi Saito, and Ryohei Nakano. Extracting influential nodes for information diffusion on a social network. In Proc. of AAAI, pages 1371-1376, 2007.
11. Wei Chen, Yajun Wang, and Siyu Yang. Efficient influence maximization in social networks. In Proc. of KDD, pages 199-208, 2009.
12. Yu Wang, Gao Cong, Guojie Song, and Kunqing Xie. Community-based greedy algorithm for mining top-k influential nodes in mobile social networks. In Proc. of KDD, pages 1039-1048, 2010.
13. Wei Chen, Chi Wang, and Yajun Wang. Scalable influence maximization for prevalent viral marketing in large-scale social networks. In Proc. of KDD, pages 1029-1038, 2010.
14. Wei Chen, Yifei Yuan, and Li Zhang. Scalable influence maximization in social networks under the linear threshold model. In Proc. of ICDM, pages 88-97, 2010.
15. Amit Goyal, Wei Lu, and Laks V.S Lakshmanan. Simpath: An efficient algorithm for influence maximization under the linear threshold model. In Proc. of ICDM, pages 211-220, 2011.
16. Amit Goyal, Wei Lu, and Laks V.S Lakshmanan. Celf++: Optimizing the greedy algorithm for influence maximization in social networks. In Proc. of WWW, pages 47-48, 2011.
17. Ceren Budak, Divyakant Agrawal, and Amr El Abbadi. Limiting the spread of misinformation in social networks. In Proc. of WWW, pages 665-674, 2011.
18. Shishir Bharathi, David Kempe, and Mahyar Salek. Competitive influence maximization in social networks. In Proc. of WINE, pages 306-311, 2007.
19. Smriti Bhagat, Amit Goyal, and Laks V.S Lakshmanan. Maximizing product adoption in social networks. In Proc. of WSDM, pages 603-612, 2012.
20. Tim Carnes, Chandrashekhar Nagarajan, Stefan M. Wild, and Van Zuylen Ankee. Maximizing influence in a competitive social network: A follower's perspective. In Proc. of ICEC, pages 351-360, 2007.
21. Jure Leskovec. Dynamics of Large Networks. Addison-Wesley Publishing Company, 2008.
22. Seth A. Myers and Jure Leskovec. Clash of the contagions: Cooperation and competition in information diffusion. In Proc. of ICDM.
23. Julian McAuley and Jure Leskovec. Learning to discover social circles in ego networks. In Proc.c of NIPS.
24. Seth A. Myers, Chenguang Zhu, and Jure Leskovec. Information diffusion and external influence in networks. In Proc.c of KDD.
25. Manuel Gomez-Rodriguez, Jure Leskovec, and Andreas Krause. Inferring networks of diffusion and influence. TKDD.
26. Nicola Barbieri, Francesco Bonchi, and Giuseppe Manco. Topic-aware social influence propagation models. In Proc. of ICDM, pages 81-90, 2012.
27. David Williams. Probability with martingales. Cambridge University Press.
28. G.L. Nemhauser, L.A. Wolsey, and M.L. Fisher. An analysis of the approximations for maximizing submodular set functions. Mathematical Programming, pages 265-294, 1978.
29. Jure Leskovec, Ajit Singh, and Jon Kleinberg. Patterns of influence in a recommendation network. In Proc. of PAKDD, pages 380-389, 2006.
30. http://snap.stanford.edu/data/index.html.