Analyzing Clusters and Constellations from Untwisting shortened links on Twitter using Conceptual Graphs

Emma L Tonkin, Heather D. Pfeiffer, Gregory J L Tourte

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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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
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
PublisherSpringer Verlag
Pages58-74
Number of pages17
Volume7735
ISBN (Electronic)978-3-642-35786-2
ISBN (Print)978-3-642-35785-5
DOIs
Publication statusPublished - 2013
Event20th International Conference on Conceptual Structures, ICCS 2013 - Mumbai, India
Duration: 10 Jan 201312 Jan 2013

Publication series

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

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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