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 (University of Electronic Science and Technology of China, School of Political Science and Public Administration, Chengdu, China), Du Fei (University of Electronic Science and Technology of China, School of Political Science and Public Administration, Chengdu, China) and Jiang Ping (University of Electronic Science and Technology of China, School of Political Science and Public Administration, Chengdu, China)
DOI: 10.4018/IJISCRAM.2016100104


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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In recent years, with the rapid development of economic, China has achieved fruitful outcomes in politics, economy, and culture, etc. The prosperity of our nation not only has benefited increasingly more people, but has intensified the contradictions that exist in the society. Compared to the past, there comes a typical threat to social security in recent years, and that is emergency events, which appear to be more frequent and harmful year by year. In China, the number of unnatural deaths in each year from social security, artificial or non-artificial disasters, public health or other emergencies is up to 20 million people, and the number of the disabled has reached 200 million people, costing 600 billion yuan in economic loss. Nevertheless, the frequency and destructibility of emergencies are stepping up. How to deal with the emergency is closely related to the governmental ability, the all-rounded development of the country, and social prosperity. Thus, these unexpected and urgent events could not only bring a challenge to the government in social governance, but also make emergency management a new research direction in China and the world.

As the report of “Statistical Reports on Internet Development in China” published by China Internet Network Information Center, that up to Dec,2014, the number of net citizen in China has reached to 649 million, with an increase of 31.17million compared to the end of 2013. The number of mobile net citizen in China has reached to 557 million. The information society network plays a landmark role for its openness, efficiency, and concentration. The network has become an important platform for people to communicate because they can acquire information through various searching engines and they can express and spread their views through network. Throughout network group events occurred in China, you may find that the network plays the same role as newspapers, radio and television, which becomes a major media to influence people's life. When internet penetrates into every corner of human life and becomes an important factor for social structure, the traditional social movement and clustering behavior will be brand new to the world, such as these typical network events:(The event of disgrace teacher with video in Beijing and dog burning event in Nanjing happened in 2007, The event of teacher Fan, Meizhong who leaves his students to escape when the earth quark happens in 2008, The event of “6.17” Happened in Hubei 2009, The event “6.11” happened in Maanshan 2010, and The event of “Biao ge” in 2012) These emerging events affect not only the order of cyberspace, but also extend their influence to the real world. With this view the network is a concept, not an artifact that Rather it is a tool to describe actions taken among user in a certain setting or environmentn. humans can feel and touch. Due to the insufficient understanding of network clustering behavior’s characteristics and the laws, the government and society ‘s coping strategies cannot work functionally in time. Therefore, study of mechanism of network clustering behavior becomes a premise to efficiently deal with network group events

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