Cooperative, dynamic Twitter parsing and visualization for dark network analysis

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

7 Scopus citations

Abstract

Developing a network based on Twitter data for social network analysis (SNA) is a common task in most academic domains. The need for real-time analysis is not as prevalent due to the fact that researchers are interested in the analysis of Twitter information after a major event or for an overall statistical or sociological study of general Twitter users. Dark network analysis is a specific field that focuses on criminal, terroristic, or people of interest networks in which evaluating information quickly and making decisions from this information is crucial. We propose a plaiform and visualization called Dynamic Twitter Network Analysis (DTNA) that incorporates real-time information from Twitter, its subsequent network topology, geographical placement of geotagged tweets on a Google Map, and storage for long-term analysis. The plaiform provides a SNA visualization that allows the user to interpret and change the search criteria quickly based on visual aesthetic properties built from key dark network utilities with a user interface that can be dynamic, up-to-date for time critical decisions and geographic specific.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013
Pages172-176
Number of pages5
DOIs
StatePublished - Oct 28 2013
Event2013 IEEE 2nd International Network Science Workshop, NSW 2013 - West Point, NY, United States
Duration: Apr 29 2013May 1 2013

Publication series

NameProceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013

Other

Other2013 IEEE 2nd International Network Science Workshop, NSW 2013
CountryUnited States
CityWest Point, NY
Period4/29/135/1/13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Dudas, P. M. (2013). Cooperative, dynamic Twitter parsing and visualization for dark network analysis. In Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013 (pp. 172-176). [6609217] (Proceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013). https://doi.org/10.1109/NSW.2013.6609217