Analysis of the Burnout Behavior of Mobile Social Network Participants Based on the ISM Algorithm

The Interpretive Structural Modeling (ISM) is a system analysis algorithm for inferring the interrelationships and logical hierarchies among the factors. The burnout behavior of mobile social network users is a network phenomenon worthy of in-depth study. Through the ISM algorithm, the working mechanism of burnout behavior of the social network users can be systematically sorted out from the superficial to the deep. First, on the basis of literature review, the factors that may affect the burnout behavior of mobile social network participants are summarized, and the adjacency matrix is generated by assigning “0” and “1” through the pairwise comparison. Secondly, through the ISM algorithm, the hierarchical decomposition is performed and a directed graph is generated. The conclusion shows that the “information overload” is the direct cause of participants’ burnout behavior, while the “reduced interest” and “system quality” are the underlying reasons for participants’ burnout behavior. The ISM algorithm shows good reasoning ability for the causal mechanism of the mobile social network users’ burnout behavior.