Analyzing clusters and constellations from untwisting shortened links on Twitter using conceptual graphs

E.L Tonkin, H D Pfeiffer, G J L Tourte

    Research output: Chapter or section in a book/report/conference proceedingChapter or section

    Abstract

    The analysis of big data, although potentially a very rewarding task, can present difficulties due to the complexity inherent to such datasets. We suggest that conceptual graphs provide a mechanism for representing knowledge about a domain that can also be used as a useful scaffold for big data analysis. Conceptual graphs may be used as a means to collaboratively build up a robust model forming the skeleton of a data analysis project. This paper describes a case study in which conceptual graphs were used to underpin an exploration of a corpus of tweets relating to the Transportation Security Administration (TSA). Through this process we will demonstrate the emerging model built up of the data landscape involved and of the business structures that underlie the technical frameworks relied upon by microblogging software.
    Original languageEnglish
    Title of host publicationConceptual Structures for STEM Research and Education
    Subtitle of host publication20th International Conference on Conceptual Structures, ICCS 2013, Mumbai, India, January 10-12, 2013. Proceedings
    EditorsHeather D Pfeiffer, Dmitry I Ignatov, Jonas Poelmans, Nagarjuna Gadiraju
    Place of PublicationBerlin
    PublisherSpringer
    Pages58-74
    ISBN (Electronic)03029743
    ISBN (Print)9783642332920
    DOIs
    Publication statusPublished - 2013

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume7735
    ISSN (Print)0302-9743

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