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A New Method for Overlapping Community Detection based on Complete Subgraph and Label Propagation

Published: 19 May 2018 Publication History

Abstract

Overlapping community discovery can help analyze and understand complex network, it has become a hot topic of data mining research. This paper proposes an overlapping community detection algorithm based on complete subgraph and label propagation (OCDSLP). The algorithm first searches for complete subgraph and allocates unique labels for each subgraph to achieve fast label preprocessing. Then it updates each label by observing the adjacent node labels of each node. The concept of contact frequency is also proposed to help Label selection which reduces the random propagation probability of labels, and finally divides the community through the distribution of labels in the network. This paper selects two standard datasets for experiments. The results show that the OCDSLP algorithm has better algorithm stability and time performance while maintaining the same quality of community discovery as the COPRA algorithm.

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Cited By

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  • (2022) Identifying the Top- k Influential Spreaders in Social Networks: a Survey and Experimental Evaluation IEEE Access10.1109/ACCESS.2022.321304410(107809-107845)Online publication date: 2022
  • (2020)Overlapping Community Detection Combining Topological Potential and Trust Value of NodesIntelligent Information Processing X10.1007/978-3-030-46931-3_15(160-166)Online publication date: 26-Jun-2020
  • (2019)The Detection of Gene Modules with Overlapping Characteristic via Integrating Multi-omics Data in Six CancersIntelligent Computing Theories and Application10.1007/978-3-030-26969-2_38(394-405)Online publication date: 24-Jul-2019

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  1. A New Method for Overlapping Community Detection based on Complete Subgraph and Label Propagation

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    cover image ACM Other conferences
    ICIIP '18: Proceedings of the 3rd International Conference on Intelligent Information Processing
    May 2018
    249 pages
    ISBN:9781450364966
    DOI:10.1145/3232116
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Guilin: Guilin University of Technology, Guilin, China
    • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

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    New York, NY, United States

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    Published: 19 May 2018

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    Author Tags

    1. community discovery
    2. complete subgraph
    3. complex networks
    4. label propagation

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    View all
    • (2022) Identifying the Top- k Influential Spreaders in Social Networks: a Survey and Experimental Evaluation IEEE Access10.1109/ACCESS.2022.321304410(107809-107845)Online publication date: 2022
    • (2020)Overlapping Community Detection Combining Topological Potential and Trust Value of NodesIntelligent Information Processing X10.1007/978-3-030-46931-3_15(160-166)Online publication date: 26-Jun-2020
    • (2019)The Detection of Gene Modules with Overlapping Characteristic via Integrating Multi-omics Data in Six CancersIntelligent Computing Theories and Application10.1007/978-3-030-26969-2_38(394-405)Online publication date: 24-Jul-2019

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