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Description
Title: | Cooperative, dynamic Twitter parsing and visualization for dark network analysis |
Author(s): | Dudas, Patrick M. |
Subject(s): | dark networks
visualization social network analysis user-design cultural informatics social and community informatics information retrieval |
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 platform 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 platform 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. |
Issue Date: | 2013-02 |
Publisher: | iSchools |
Citation Info: | Dudas, P. M. (2013). Cooperative, dynamic Twitter parsing and visualization for dark network analysis. iConference 2013 Proceedings (pp. 623-632). doi:10.9776/13295 |
Genre: | Conference Paper / Presentation |
Type: | Text |
Language: | English |
URI: | http://hdl.handle.net/2142/39982 |
DOI: | https://doi.org/10.9776/13295 |
Publication Status: | published or submitted for publication |
Peer Reviewed: | is peer reviewed |
Rights Information: | Copyright © 2013 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors. |
Date Available in IDEALS: | 2013-01-30 |