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On selection of objective functions in multi-objective community detection

Published: 24 October 2011 Publication History

Abstract

There is a surge of community detection of complex networks in recent years. Different from conventional single-objective community detection, this paper formulates community detection as a multi-objective optimization problem and proposes a general algorithm NSGA-Net based on evolutionary multi-objective optimization. Interested in the effect of optimization objectives on the performance of the multi-objective community detection, we further study the correlations (i.e., positively correlated, independent, or negatively correlated) of 11 objective functions that have been used or can potentially be used for community detection. Our experiments show that NSGA-Net optimizing over a pair of negatively correlated objectives usually performs better than the single-objective algorithm optimizing over either of the original objectives, and even better than other well-established community detection approaches.

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  • (2020)Nature-inspired optimization algorithms for community detection in complex networks: a review and future trendsTelecommunication Systems10.1007/s11235-019-00636-xOnline publication date: 30-Jan-2020
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    cover image ACM Conferences
    CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management
    October 2011
    2712 pages
    ISBN:9781450307178
    DOI:10.1145/2063576
    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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    Publication History

    Published: 24 October 2011

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    Author Tags

    1. community detection
    2. complex network
    3. evolutionary algorithm
    4. multi-objective optimization

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    View all
    • (2024)Overlapping Community Detection in Complex Networks Using Multi-Objective Particle Swarm Optimization Algorithm2024 10th International Conference on Smart Computing and Communication (ICSCC)10.1109/ICSCC62041.2024.10690620(288-293)Online publication date: 25-Jul-2024
    • (2021)Multi-Criteria Evaluation of Publication Impacts: Deep Learning in Autonomous Vehicles2021 29th Conference of Open Innovations Association (FRUCT)10.23919/FRUCT52173.2021.9435554(160-168)Online publication date: 12-May-2021
    • (2020)Nature-inspired optimization algorithms for community detection in complex networks: a review and future trendsTelecommunication Systems10.1007/s11235-019-00636-xOnline publication date: 30-Jan-2020
    • (2020)GA-PPI-Net: A Genetic Algorithm for Community Detection in Protein-Protein Interaction NetworksSoftware Technologies10.1007/978-3-030-52991-8_7(133-155)Online publication date: 22-Jul-2020
    • (2019)Community Detection in Signed Social Networks Using Multiobjective Genetic AlgorithmJournal of the Association for Information Science and Technology10.1002/asi.2416470:8(788-804)Online publication date: 2-Jul-2019
    • (2018)Meta-Heuristic Multi-objective Community Detection Based on Users’ AttributesData Mining10.1007/978-981-13-0292-3_16(250-264)Online publication date: 14-Apr-2018
    • (2018)Evolutionary Community Detection AlgorithmsEvolutionary Computation and Complex Networks10.1007/978-3-319-60000-0_5(77-115)Online publication date: 23-Sep-2018
    • (2017) Multi-objective clustering technique based on -nodes update policy and similarity matrix for mining communities in social networks Physica A: Statistical Mechanics and its Applications10.1016/j.physa.2017.05.026486(1-24)Online publication date: Nov-2017
    • (2017)Network Community Discovery with Evolutionary Multi-objective OptimizationComputational Intelligence for Network Structure Analytics10.1007/978-981-10-4558-5_3(73-134)Online publication date: 20-Sep-2017
    • (2017)IntroductionComputational Intelligence for Network Structure Analytics10.1007/978-981-10-4558-5_1(1-20)Online publication date: 20-Sep-2017
    • Show More Cited By

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