Research on Online Group Classification Based on the Response Function of Social System
LIU Jiaqi① QI Jiayin②③
①(Institute of Economic Management, Beijing University of Posts and Telecommunications, Beijing 100876, China) ②(Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Beijing 100876, China) ③(Institute of Business Administration, Shanghai University of International Business and Economics, Shanghai 201620, China)
Devoted to enriching the research system of online group, and laying the foundation for exploring deep scientific problem in the future, this paper discusses the definition of online group, online topic, common classification methods, and primarily introduces a new qualitative method of online topic classification based on observing the trend of a social system response function. Through this method, online topic discussed by online group can be divided into exogenous critical topic, exogenous subcritical topic, endogenous critical topic, and endogenous subcritical topic. The standardized steps to this method are put forward, and it is figured out that the problems may occur when applying it to the practice. What’s more, this method is tried to estimate the distribution of four types of topics in the two representatives of online social network platform “Sina microblog” and “Baidu Tieba”.
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