Identifying community structures in dynamic networks-Reference-Cited by-同舟云学术

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Identifying community structures in dynamic networks

Published:2016-09-12 Issue:1 Volume:6 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Alvari Hamidreza,Hajibagheri Alireza,Sukthankar Gita,Lakkaraju Kiran

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s13278-016-0390-5.pdf

Reference39 articles.

1. Adjeroh D, Kandaswamy U (2007) Game-theoretic analysis of network community structure. Int J Comput Intell Res 3(4):313–325

2. Alvari H, Hashemi S, Hamzeh A (2011) Detecting overlapping communities in social networks by game theory and structural equivalence concept. In: Artificial intelligence and computational intelligence, Springer, Berlin, pp 620–630

3. Alvari H, Hashemi S, Hamzeh A (2013) Discovering overlapping communities in social networks: a novel game-theoretic approach. AI Commun 36(2):161–177

4. Alvari H, Hajibagheri A, Sukthankar G (2014a) Community detection in dynamic social networks: a game-theoretic approach. In: IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM), pp 101–107

5. Lecture notes in computer science;H Alvari,2014

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