Conversation retrieval for microblogging sites

Matteo Magnani, Danilo Montesi, Luca Rossi

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Abstract

    In this article we introduce a novel search paradigm for microblogging sites resulting from the intersection of Information Retrieval and Social Network Analysis (SNA). This approach is based on a formal model of on-line conversations and a set of ranking measures including SNA centrality metrics, time-related conversational metrics and other specific features of current microblogging sites. The ranking approach has been compared to other methods and tested on two well known social network sites (Twitter and Friendfeed) showing that the inclusion of SNA metrics in the ranking function and the usage of a model of conversation can improve the results of search tasks.
    Original languageEnglish
    JournalInformation Retrieval
    Volume15
    Issue number3-4
    Pages (from-to)354-372
    Number of pages19
    ISSN1386-4564
    DOIs
    Publication statusPublished - 1 Feb 2013

    Keywords

    • Conversation retrieval
    • Social network sites
    • Social media
    • Monitoring
    • Social network analysis metrics

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