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    ICCTSN 2019 - International Conference on Communication Technology for Social Networks 2019

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    Website http://stemconferences.com/ctsn2019/ | Want to Edit it Edit Freely

    Category Communication Technology; Social Networks; Virtual communities; Collective intelligence; science communities; education; Data mining; knowledge discovery; Mobile social networks;

    Deadline: July 30, 2019 | Date: October 04, 2019-October 05, 2019

    Venue/Country: Singapore, Singapore

    Updated: 2018-09-06 20:37:40 (GMT+9)

    Call For Papers - CFP

    Virtual communities

    Community models, multi-channel communities

    Community-related business models

    Cross-cultural: Political and social networking

    Evolution of and innovation in social networks

    Information dispersion in social networks

    Collective intelligence

    Mobile services for social networks

    Psychological impact of social networking

    Peer-to-peer networks in social network

    Social networks in investigations

    Social networks in the education

    Social networks in the science communities

    Content and customer in social networks

    Influential members detection

    Social graphs/temporal patterns

    Use of Graph theory in Social network

    Data mining and knowledge discovery

    Popular events in social communities

    Compressing large networks for analysis

    Graph search algorithms

    Multi-agent modelling and analysis

    Mobile social networks and semantic web platforms

    Analysis of semantic web data


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.