ActiveMap: Visual analysis of temporal activity in social media sites

Hagit Ben-Shoshan, Osnat Mokryn

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

    Abstract

    Social media users are becoming more active by the day. Tracking their temporal activity patterns along time demands high processing and large storage volume. Analyzing and understanding both the global activity characteristics and personal activity patterns for different users is challenging. We examine here a visualization method that draws a snapshot of the temporal activity, specifically of content generated by users. Our visualization enables comparisons between sites and within site activities for different periods, while giving both a global and a comparative personal view in a single snapshot. This inner comparative view also highlights irregular activities. We demonstrate our findings with three different social media datasets obtained from Amazon, IMDb and Twitter.

    Original languageEnglish
    Title of host publicationIUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
    PublisherAssociation for Computing Machinery
    Pages491-492
    ISBN (Electronic)9781450355711
    DOIs
    StatePublished - 5 Mar 2018
    Event23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
    Duration: 7 Mar 201811 Mar 2018

    Publication series

    NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

    Conference

    Conference23rd International Conference on Intelligent User Interfaces, IUI 2018
    Country/TerritoryJapan
    CityTokyo
    Period7/03/1811/03/18

    Bibliographical note

    Publisher Copyright:
    © 2018 Copyright is held by the owner/author(s).

    Keywords

    • Social media
    • Temporal activity
    • Treemap

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction

    Fingerprint

    Dive into the research topics of 'ActiveMap: Visual analysis of temporal activity in social media sites'. Together they form a unique fingerprint.

    Cite this