Community Detection Algorithms

Author:

Khanday Akib Mohi Ud Din1,Rabani Syed Tanzeel2,Khan Qamar Rayees2,Khan Fayaz Ahmad3

Affiliation:

1. United Arab Emirates University, Al Ain, UAE

2. Baba Ghulam Shah Badshah University, India

3. Cluster University of Srinagar, India

Abstract

Modern networks, like social networks, can typically be characterised as a graph structure, and graph theory approaches can be used to address issues like link prediction, community recognition in social network analysis, and social network mining. The community structure or cluster, which is the organisation of vertices with numerous links joining vertices of the same cluster and comparatively few edges joining vertices of different clusters, is one of the most important characteristics of graphs describing real systems. People post content on social media platforms and others comment, share, and like their messages. There are various approaches in finding the communities on online social networks. In this chapter an overview of community structure is provided. A critical analysis is being done on various community detection algorithms.

Publisher

IGI Global

Reference27 articles.

1. AshcroftM.FisherA.KaatiL.OmerE.PruchaN. (2015). Detecting jihadist messages on twitter. In 2015 European intelligence and security informatics conference. IEEE.

2. Community detection in social network based on useras social activities

3. Everyone's an influencer

4. Using communities against deception in online social networks

5. Diestel. (n.d.). Graph theory (3rd ed.). https://sites.math.washington.edu/ billey/classes/562.winter.2018/2006

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3