Dynamic community mining and tracking based on temporal social network analysis

Xiaokang Zhou, Wei Liang, Bo Wu, Zixian Lu, Shoji Nishimura, Takashi Shinomiya, Qun Jin

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Nowadays, the analysis of social networks, as well as the community evolution has become a hotly discussed topic in social computing field. In this paper, we focus on mining and tracking the dynamic communities based on social networking analysis. Based on a generic framework for the dynamic community discovery, a computational approach is developed to extract users' static and dynamic features for the temporal trend detection. A dynamically socialized user networking model is then presented to describe users' various social relationships. A mechanism is proposed and developed to detect the dynamic user communities, and track their evolving changes. Experiments using Twitter data demonstrate the effectiveness of our method in tracking how communities dynamically create, split, and merge from a group of connected people in social media environments.

    本文言語English
    ホスト出版物のタイトルProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ177-182
    ページ数6
    ISBN(電子版)9781509043149
    DOI
    出版ステータスPublished - 2017 3 10
    イベント16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji
    継続期間: 2016 12 72016 12 10

    Other

    Other16th IEEE International Conference on Computer and Information Technology, CIT 2016
    国/地域Fiji
    CityNadi
    Period16/12/716/12/10

    ASJC Scopus subject areas

    • ソフトウェア
    • コンピュータ サイエンスの応用
    • コンピュータ ネットワークおよび通信
    • 情報システム
    • 安全性、リスク、信頼性、品質管理

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