Analysis of mass incident diffusion in Weibo based on self-organization theory

作者：Pan, Jun^*; Shen, Huizhang

来源：Physica A: Statistical Mechanics and Its Applications , 2018, 491: 835-842.

DOI：10.1016/j.physa.2017.09.033

• Complex system
• Self-organization
• Mass incidents
• Social network
• Diffusion

This study introduces some theories and methods of self-organization system to the research of the diffusion mechanism of mass incidents in Weibo (Chinese Twitter). Based on the analysis on massive Weibo data from Songjiang battery factory incident happened in 2013 and Jiiangsu Qidong OJI PAPER incident happened in 2012, we find out that diffusion system of mass incident in Weibo satisfies Power Law, Zipfs Law, 1/f noise and Self-similarity. It means this system is the self-organization criticality system and dissemination bursts can be understood as one kind of Self-organization behavior. As the consequence, self-organized criticality (SOC) theory can be used to explain the evolution of mass incident diffusion and people may come up with the right strategy to control such kind of diffusion if they can handle the key ingredients of Self-organization well. Such a study is of practical importance which can offer opportunities for policy makers to have good management on these events.

• 出版日期2018-2-1
• 单位上海交通大学