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Issue No. 12 - Dec. (2013 vol. 46)
ISSN: 0018-9162
pp: 80-84
Ting Hua , Virginia Tech
Chang-Tien Lu , Virginia Tech
Naren Ramakrishnan , Virginia Tech
Feng Chen , Carnegie Mellon University
Jaime Arredondo , University of California, San Diego
David Mares , University of California, San Diego
Mining and analyzing data from social networks such as Twitter can reveal new insights into the causes of civil disturbances, including trigger events and the role of political entrepreneurs and organizations in galvanizing public opinion.
Data mining, Social network services, Social factors, Information analysis

T. Hua et al., "Analyzing Civil Unrest through Social Media," in Computer, vol. 46, no. 12, pp. 80-84, 2013.
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