Uncovering diffusion in academic publications using model-driven and model-free approaches

Minkyoung Kim, David Newth, Peter Christen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    Information spreads across heterogeneous social systems, and the underlying network structures are hard to collect or define. The goal of this paper is to estimate macro-level information diffusion using time-series activity sequences of heterogeneous populations without the need to know detailed network structures. We propose a consistent way of understanding dynamic influence among populations with both model-driven and model-free approaches. As a real-word example, we focus on computer science publications for uncovering research topic diffusion patterns across different sub domains. As a result, estimated diffusion patterns, obtained from the two approaches, exhibit similar information pathways but with different perspectives on diffusion, which in conjunction can help to obtain a more coherent overall picture of diffusion dynamics than either approach alone. We expect that our proposed approaches can help quantify and understand macro-level diffusion across target regions in various real-world scenarios and provide ways of inferring diffusion patterns from time-series real data.

    Original languageEnglish
    Title of host publicationProceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014
    EditorsJinjun Chen, Laurence T. Yang
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages564-571
    Number of pages8
    ISBN (Electronic)9781479967193
    DOIs
    Publication statusPublished - 2014
    Event4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 - Sydney, Australia
    Duration: 3 Dec 20145 Dec 2014

    Publication series

    NameProceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014

    Conference

    Conference4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014
    Country/TerritoryAustralia
    CitySydney
    Period3/12/145/12/14

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