Analyzing Clusters and Constellations: from Untwisting Shortened Links on Twitter Using Conceptual Graphs

Emma Tonkin, Gregory Tourte, Heather D Pfeiffer

Research output: Contribution to conferencePaper

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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
Pages58-74
Number of pages17
Publication statusPublished - 30 Jan 2013
Event20th International Conference on Conceptual Structures (ICCS 2013) - Mumbai, India
Duration: 10 Jan 201312 Jan 2013

Conference

Conference20th International Conference on Conceptual Structures (ICCS 2013)
CountryIndia
CityMumbai
Period10/01/1312/01/13

Keywords

  • Conceptual Graphs
  • Twitter
  • Microblogging
  • models

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  • Cite this

    Tonkin, E., Tourte, G., & Pfeiffer, H. D. (2013). Analyzing Clusters and Constellations: from Untwisting Shortened Links on Twitter Using Conceptual Graphs . 58-74. Paper presented at 20th International Conference on Conceptual Structures (ICCS 2013), Mumbai, India.