Macro-level information transfer across social networks

Minkyoung Kim, David Newth, Peter Christen

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

    3 Citations (Scopus)

    Abstract

    This study proposes a model-free approach to infer macro- level information flow across online social systems in terms of the strength and directionality of influence among systems.

    Original languageEnglish
    Title of host publicationWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
    PublisherAssociation for Computing Machinery, Inc
    Pages321-322
    Number of pages2
    ISBN (Electronic)9781450327459
    DOIs
    Publication statusPublished - 7 Apr 2014
    Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
    Duration: 7 Apr 201411 Apr 2014

    Publication series

    NameWWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

    Conference

    Conference23rd International Conference on World Wide Web, WWW 2014
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period7/04/1411/04/14

    Fingerprint

    Dive into the research topics of 'Macro-level information transfer across social networks'. Together they form a unique fingerprint.

    Cite this