Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks

Author:

Kawase Yasushi1ORCID,Miyauchi Atsushi1ORCID,Sumita Hanna2ORCID

Affiliation:

1. The University of Tokyo, Bunkyo-ku, Japan

2. Tokyo Institute of Technology, Meguro-ku, Japan

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

ACM

Reference43 articles.

1. A. Angel , N. Sarkas , N. Koudas , and D. Srivastava . 2012. Dense subgraph maintenance under streaming edge weight updates for real-time story identification . In Proceedings of VLDB. 574--585 . A. Angel, N. Sarkas, N. Koudas, and D. Srivastava. 2012. Dense subgraph maintenance under streaming edge weight updates for real-time story identification. In Proceedings of VLDB. 574--585.

2. T. Bacsar and G. J. Olsder . 1999 . Dynamic Noncooperative Game Theory. Classics in Applied Mathematics , Vol. 23 . SIAM. T. Bacsar and G. J. Olsder. 1999. Dynamic Noncooperative Game Theory. Classics in Applied Mathematics, Vol. 23. SIAM.

3. O. D. Balalau , F. Bonchi , T-H. H. Chan , F. Gullo , and M. Sozio . 2015. Finding subgraphs with maximum total density and limited overlap . In Proceedings of WSDM. 379--388 . O. D. Balalau, F. Bonchi, T-H. H. Chan, F. Gullo, and M. Sozio. 2015. Finding subgraphs with maximum total density and limited overlap. In Proceedings of WSDM. 379--388.

4. Identifying Influential Spreaders in Complex Multilayer Networks: A Centrality Perspective

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