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An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior

An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior

Tang Zhi-Wei, Du Fei, Jiang Ping
Copyright: © 2016 |Volume: 8 |Issue: 4 |Pages: 15
ISSN: 1937-9390|EISSN: 1937-9420|EISBN13: 9781466690516|DOI: 10.4018/IJISCRAM.2016100104
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MLA

Zhi-Wei, Tang, et al. "An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior." IJISCRAM vol.8, no.4 2016: pp.56-70. http://doi.org/10.4018/IJISCRAM.2016100104

APA

Zhi-Wei, T., Fei, D., & Ping, J. (2016). An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), 8(4), 56-70. http://doi.org/10.4018/IJISCRAM.2016100104

Chicago

Zhi-Wei, Tang, Du Fei, and Jiang Ping. "An Empirical Study on Temporal Evolution Rule of Network Clustering Behavior," International Journal of Information Systems for Crisis Response and Management (IJISCRAM) 8, no.4: 56-70. http://doi.org/10.4018/IJISCRAM.2016100104

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Abstract

Using questionnaire survey, this paper studied the temporal evolution rule of network clustering behavior through descriptive statistical analysis and paired samples T Test, which analyzes network clustering behavior's expression in different phases during the developing of network group event. The result shows that: For the network clustering behavior, there is no significant difference between pro-phase and meta- phase of the network group events, the top three for behavior intensity are “network public opinion” behavior, “human flesh search” behavior and “network consensus” behavior; the last three for behavior intensity are “network fatwa” behavior, “network kuso” behavior and “network consensus violence” behavior; For the network clustering behavior, there are significant differences between meta- phase and anaphase of the network group events, compared to meta- phase, the “internet gossip” behavior, “network consensus” behavior, “network fatwa” behavior and ” network rally” behavior will be strengthened, ” network trial” behavior will diminish. Practical application: These network group events bring so many harmful effects for the comprehensive management of cyberspace for government. To find the evolution of network clustering behavior is highly necessary for the government to take immediate and effective measures when the network group event happens.

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