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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/1276
Title: Cooperative spectrum sensing optimization for cognitive radio in 6 G networks
Authors: Singh, Akansha
Keywords: Community detection, Genetic algorithms, Hierarchical clustering, Modularity, Social network
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: 4
Abstract: Social network-based applications like Facebook, Twitter, and Instagram have been used by people of all age groups and backgrounds for the last few years. It is a rich platform for sharing knowledge amongst users online. This information is shared as feelings, opinions, interests, events, or comments in large volumes and varied forms of data. Many multidisciplinary researchers have conducted studies to find out the commercial values of social media data. The reason behind this interest in research is an affluence to access data from the web, process it, and pull-out useful information from the web. Researchers have worked upon and explored the topics like information spreading, relationship analysis in groups for some or other applications. This review paper conducts a survey on community detection problem in social networks, its analysis, and a study of research done on related areas. © 2021 IEEE.
URI: https://doi.org/10.1109/CICN51697.2021.9574691
http://lrcdrs.bennett.edu.in:80/handle/123456789/1276
Appears in Collections:Journal Articles_SCSET

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