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A Comprehensive Analysis of Various Community Detection Algorithm
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In recent years, online social networks (OSNs) have dramatically expanded in popularity around the world. The rapid growth of OSNs has attracted a large number of researchers to explore and study this popular, ubiquitous, and large-scale service. Community Detection is very important to reveal the structure of social network. Uncovering the community structure of complex networks is helpful for understanding complex systems. Researches on analyzing community structure thus gained growing attention during the past decades.
Keywords
Online Social Networks, Community Detection.
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- Hao, F., Min, G., & Pei, Z., Park, D. S., & Yang, L. T. (2015). K-clique Community Detection on Formal Concept Analysis. IEEE Systems Journal, March, 11(1), 250-259.
- Du, N., Wu, B., Xu, L., Wang, B., & Pci, X. (2016). Isotonic Hawkes Processes. International Conference on Machine Learning, Beijing, China
- Steinhaeuser, K., & Chawla, N. V. (2008). Community Detection in Large Real World Network, (pp.168-175), Univercity of Notre Dame, USA: Spinger.
- Zou, M., & Iwaihara, M. (2016). Hashtag Sense Disambiguation Based on Content and temporal Proximities. DIEM- Forum D1-1, Fukuoka.
- Vehlow, C., Reinhadt, T., & Weiskoff, D. (2013). Visualizing Fuzzy Overlapping Communities in Networks. Computer Society. IEEE Transactions on Visualization and Computer Graphics, December, 19(12), 2486-2495.
- Google Image Search, https://www.google.com/imghp
- Sutaria, K., Joshi, D., Bhensdadiya, C. K., & Khalpada, K. (2015). An Adaptive Approximation Algorithm for Community Detection in Social Network. IEEE International Conference on Computational Intelligence & Communication Technology, (pp.785-788).
- Chintalapudi, S. R., & Prasad, M. H. M. (2015). Survey on Community Detection algorithm in large scale social networks. IEEE 2nd International Conference on Computing for Sustainable Global Development.
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