research-article

Local Overlapping Community Detection

Authors:

Bei HuaAuthors Info & Claims

ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 14, Issue 1

Article No.: 3, Pages 1 - 25

https://doi.org/10.1145/3361739

Published: 13 December 2019 Publication History

Abstract

Local community detection refers to finding the community that contains the given node based on local information, which becomes very meaningful when global information about the network is unavailable or expensive to acquire. Most studies on local community detection focus on finding non-overlapping communities. However, many real-world networks contain overlapping communities like social networks. Given an overlapping node that belongs to multiple communities, the problem is to find communities to which it belongs according to local information. We propose a framework for local overlapping community detection. The framework has three steps. First, find nodes in multiple communities to which the given node belongs. Second, select representative nodes from nodes obtained above, which tends to be in different communities. Third, discover the communities to which these representative nodes belong. In addition, to demonstrate the effectiveness of the framework, we implement six versions of this framework. Experimental results demonstrate that the six implementation versions outperform the other algorithms.

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Cited By

Singh SMuhuri SMishra SSrivastava DShakya HKumar N(2024)Social Network Analysis: A Survey on Process, Tools, and ApplicationACM Computing Surveys10.1145/364847056:8(1-39)Online publication date: 10-Apr-2024
https://dl.acm.org/doi/10.1145/3648470
Ni LXu HZhang YLuo WHuang YSheng V(2024)Local Overlapping Spatial-aware Community DetectionACM Transactions on Knowledge Discovery from Data10.1145/363470718:3(1-21)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3634707
Zhang YZhang YZhao YDeng SYang Y(2024)Dual Variational Graph Reconstruction Learning for Social RecommendationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.338689536:11(6002-6015)Online publication date: Nov-2024
https://doi.org/10.1109/TKDE.2024.3386895
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Index Terms

Local Overlapping Community Detection
1. Information systems
  1. Information systems applications
    1. Data mining
      1. Clustering
2. Mathematics of computing
  1. Discrete mathematics
    1. Graph theory
      1. Graph algorithms

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cover image ACM Transactions on Knowledge Discovery from Data

ACM Transactions on Knowledge Discovery from Data Volume 14, Issue 1

February 2020

325 pages

ISSN:1556-4681

EISSN:1556-472X

DOI:10.1145/3375789

Editors:
Charu Aggarwal
IBM T. J. Watson Research, USA
,
Xindong Wu
Minginglamp Academy of Sciences, China

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Copyright © 2019 ACM.

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Association for Computing Machinery

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Publication History

Published: 13 December 2019

Accepted: 01 September 2019

Revised: 01 July 2019

Received: 01 January 2019

Published in TKDD Volume 14, Issue 1

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Cited By

Singh SMuhuri SMishra SSrivastava DShakya HKumar N(2024)Social Network Analysis: A Survey on Process, Tools, and ApplicationACM Computing Surveys10.1145/364847056:8(1-39)Online publication date: 10-Apr-2024
https://dl.acm.org/doi/10.1145/3648470
Ni LXu HZhang YLuo WHuang YSheng V(2024)Local Overlapping Spatial-aware Community DetectionACM Transactions on Knowledge Discovery from Data10.1145/363470718:3(1-21)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3634707
Zhang YZhang YZhao YDeng SYang Y(2024)Dual Variational Graph Reconstruction Learning for Social RecommendationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.338689536:11(6002-6015)Online publication date: Nov-2024
https://doi.org/10.1109/TKDE.2024.3386895
Ni LLi QZhang YLuo WSheng V(2024)LSADEN: Local Spatial-Aware Community Detection in Evolving Geo-Social NetworksIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.334897536:7(3265-3280)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TKDE.2023.3348975
Zhang LLi BNi LYang HCao R(2024)Evolutionary Multitasking Local Community Detection on Attributed NetworksIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2024.33536158:2(1624-1639)Online publication date: Apr-2024
https://doi.org/10.1109/TETCI.2024.3353615
Ji SBu CLi LWu X(2024)LocalTGEP: A Lightweight Edge Partitioner for Time-Varying GraphIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2023.323833312:2(455-466)Online publication date: Apr-2024
https://doi.org/10.1109/TETC.2023.3238333
Li BKamuhanda DHe K(2024)Centroid-Based Multiple Local Community DetectionIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.322617811:1(455-464)Online publication date: Feb-2024
https://doi.org/10.1109/TCSS.2022.3226178
Wei CHe Q(2024)An Efficient Control Chart for Monitoring Unweighted Networks With Overlapping CommunitiesIEEE Access10.1109/ACCESS.2024.335707712(13488-13501)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3357077
Wang SYang JDing XZhao M(2023) Detecting local communities in complex network via the optimization of interaction relationship between node and community PeerJ Computer Science10.7717/peerj-cs.13869(e1386)Online publication date: 15-May-2023
https://doi.org/10.7717/peerj-cs.1386
Wang MLi BHe KHopcroft J(2023)Uncovering the Local Hidden Community Structure in Social NetworksACM Transactions on Knowledge Discovery from Data10.1145/356759717:5(1-25)Online publication date: 27-Feb-2023
https://dl.acm.org/doi/10.1145/3567597
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