Behavior-based indices for evaluating communities in online social networks-Reference-Cited by-同舟云学术

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Behavior-based indices for evaluating communities in online social networks

Published:2017-01-10 Issue:1 Volume:21 Page:205-220
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Karimi-Majd Amir-Mohsen,Fathian Mohammad,Gholamian Mohammad-Reza

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference38 articles.

1. Adamic L.A. and Glance N., The political blogosphere and the 2004 US Election, in: Proceedings of the WWW-2005 Workshop on the Web Logging Ecosystem (2005).

2. Multi-objective enhanced firefly algorithm for community detection in complex networks;Amiri;Knowledge-based Systems,2013

3. OCMiner: A density-based overlapping community detection method for social networks;Bhat;Intelligent Data Analysis,2015

4. Effective email network visualization techniques by means of user behaviors;Byung-Won;Intelligent Data Analysis,2013

5. Blanchard A.L. and Markus M.L., Sense of virtual community - maintaining the experience of belonging, Proceedings of the 35th Hawaii International Conference on System Sciences (2002).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Community Through User Similarity Analysis on Twitter;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03

2. Consensus-based methodology for detection communities in multilayered networks;Physica A: Statistical Mechanics and its Applications;2018-03

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