Minimizing cost for influencing target groups in social network: A model and algorithmic approach-Reference-Cited by-同舟云学术

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Minimizing cost for influencing target groups in social network: A model and algorithmic approach

Published:2023-12 Issue: Volume:212 Page:182-197
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Pham Phuong N.H.^ORCID,Pham Canh V.^ORCID,Duong Hieu V.,Snášel Václav^ORCID,Thanh Nguyen Trung^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference59 articles.

1. D. Kempe, J.M. Kleinberg, É. 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, Washington, DC, USA, August 24 - 27, 2003, 2003, pp. 137–146.

2. A billion-scale approximation algorithm for maximizing benefit in viral marketing;Nguyen;IEEE/ACM Trans. Netw.,2017

3. Real-time targeted influence maximization for online advertisements;Li;Proc. VLDB Endow.,2015

4. Misinformation in online social networks: Detect them all with a limited budget;Zhang;ACM Trans. Inf. Syst.,2016

5. H. Zhang, A. Kuhnle, H. Zhang, M.T. Thai, Detecting misinformation in online social networks before it is too late, in: Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM, San Francisco, CA, USA, August 18-21, 2016, 2016, pp. 541–548.

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