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Spatiotemporal Network Analysis and Visualization

Spatiotemporal Network Analysis and Visualization

Judith Gelernter, Kathleen M. Carley
Copyright: © 2015 |Volume: 6 |Issue: 2 |Pages: 21
ISSN: 1947-9654|EISSN: 1947-9662|EISBN13: 9781466677883|DOI: 10.4018/ijagr.2015040105
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MLA

Gelernter, Judith, and Kathleen M. Carley. "Spatiotemporal Network Analysis and Visualization." IJAGR vol.6, no.2 2015: pp.77-97. http://doi.org/10.4018/ijagr.2015040105

APA

Gelernter, J. & Carley, K. M. (2015). Spatiotemporal Network Analysis and Visualization. International Journal of Applied Geospatial Research (IJAGR), 6(2), 77-97. http://doi.org/10.4018/ijagr.2015040105

Chicago

Gelernter, Judith, and Kathleen M. Carley. "Spatiotemporal Network Analysis and Visualization," International Journal of Applied Geospatial Research (IJAGR) 6, no.2: 77-97. http://doi.org/10.4018/ijagr.2015040105

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Abstract

Spatiotemporal social network analysis shows relationships among people at a particular time and location. This paper presents an algorithm that mines text for person and location words and creates connections among words. It shows how this algorithm output, when chunked by time intervals, may be visualized by third-party social network analysis software in the form of standard network pin diagrams or geographic maps. Its data sample comes from newspaper articles concerning the 2006 Darfur crisis in Sudan. Given an immense data sample, it would be possible to use the algorithm to detect trends that would predict the next geographic center(s) of influence and types of actors (foreign dignitaries or domestic leaders, for example). This algorithm should be widely generalizable to many text domains as long as the external resources are modified accordingly.

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