Community topic usage in social networks

Ian D. Wood*

*Corresponding author for this work

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

    Abstract

    When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models). Algorithms exist for both these tasks, however their combination has received little attention and proposed models to date are not scalable (e.g.: [4]). One approach to such combined modelling is to perform community and topic modelling independently and later combine the results. In the case of overlapping communities, this combination requires a method for attributing each users topic usage to the communities in which she participates. This paper presents a Bayesian model for attributing individual documents to communities which balances the users proportional community membership with community topic coherence. Community topic usage is modelled with a Dirichlet distribution with fixed concentration parameter, leading to a well defined conjugate prior. Thought the prior is computationally expensive, the already reduced dimensionality in both topics and communities make a tractable algorithm feasible, even for large data sets. The model is applied to a corpus of tweets and twitter follower relations collected on hash tags used by people with eating disorders [14].

    Original languageEnglish
    Title of host publicationTM 2015 - Proceedings of the 2015 Workshop on Topic Models
    Subtitle of host publicationPost-Processing and Applications
    PublisherAssociation for Computing Machinery, Inc
    Pages3-9
    Number of pages7
    ISBN (Electronic)9781450337847
    DOIs
    Publication statusPublished - 18 Oct 2015
    EventWorkshop on Topic Models: Post-Processing and Applications, TM 2015 - Melbourne, Australia
    Duration: 19 Oct 2015 → …

    Publication series

    NameTM 2015 - Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications

    Conference

    ConferenceWorkshop on Topic Models: Post-Processing and Applications, TM 2015
    Country/TerritoryAustralia
    CityMelbourne
    Period19/10/15 → …

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