Detection and delineation of events and sub-events in social networks

Antonia Saravanou, Ioannis Katakis, George Valkanas, Dimitrios Gunopulos

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We define and solve the problem of event detection and delineation as a task of identifying events and decomposing them to their major sub-events, with a description and a timeline. We propose DeLi, an algorithm that focuses on providing such an understanding of events and sub-events. DeLi, to the best of our knowledge, is the first method that addresses the problem in a generic stream of text, and in an online fashion. Extensive evaluation on social streaming data demonstrates that, by combining the structure of a social network with content attributes, our method outperforms the state-of-The-Art techniques.

    Original languageEnglish
    Title of host publicationProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1352-1355
    Number of pages4
    ISBN (Electronic)9781538655207
    DOIs
    Publication statusPublished - 24 Oct 2018
    Event34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France
    Duration: 16 Apr 201819 Apr 2018

    Conference

    Conference34th IEEE International Conference on Data Engineering, ICDE 2018
    CountryFrance
    CityParis
    Period16/04/1819/04/18

    Keywords

    • Anomaly Detection
    • Data Mining
    • Event Detection
    • Graph Mining
    • Social Network Analysis
    • Sub Event Detection
    • Text Mining

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  • Cite this

    Saravanou, A., Katakis, I., Valkanas, G., & Gunopulos, D. (2018). Detection and delineation of events and sub-events in social networks. In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 1352-1355). [8509368] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2018.00147