Influence maximization in social networks under an independent cascade-based model-Reference-Cited by-同舟云学术

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Influence maximization in social networks under an independent cascade-based model

Published:2016-02 Issue: Volume:444 Page:20-34
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Wang Qiyao,Jin Yuehui,Lin Zhen^ORCID,Cheng Shiduan,Yang Tan

Funder

National Key Basic Research and Department (973) Program of China

National Key Technology R&D Program

Fundamental Research Funds for the Central Universities of China

Natural Science Foundation of China

Specialized Research Fund for Doctoral Program of Higher Education

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference27 articles.

1. S. Bhagat, A. Goyal, L. Lakhmanan, Maximizing product adoption in social networks, in: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, 2012, pp. 603–612.

2. D. Kempe, J. Kleinberg, E. Tardos, Maximizing the spread of influence through a social network, in: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003, pp. 137–146.

3. W. Chen, A. Collins, R. Cummings, T. Ke, Z. Liu, D. Rincon, X. Sun, Y. Wang, W. Wei, Y. Yuan, Efficient influence maximization in social networks, in: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge discovery and data mining, 2009, pp. 199–208.

4. W. Chen, Y. Wang, S. Yang, Influence maximization in social networks when negative opinions may emerge and propagate, in: Proceedings of the 11th SIAM International Conference on Data Mining, 2011, pp. 379–390.

5. Y. Tang, X. Xiao, Y. Shi, Influence maximization: Near-optimal time complexity meets practical efficiency, in: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 2014, pp. 75–86.

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