Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions

Abstract

The outbreak of COVID-19 has greatly threatened global public health and produced social problems, which includes relative online collective actions. Based on the life cycle law, focusing on the life cycle process of COVID-19 online collective actions, we carried out both macro-level analysis (big data mining) and micro-level behaviors (Agent-Based Modeling) on pandemic-related online collective actions. We collected 138 related online events with macro-level big data characteristics, and used Agent-Based Modeling to capture micro-level individual behaviors of netizens. We set two kinds of movable agents, Hots (events) and Netizens (individuals), which behave smartly and autonomously. Based on multiple simulations and parametric traversal, we obtained the optimal parameter solution. Under the optimal solutions, we repeated simulations by ten times, and took the mean values as robust outcomes. Simulation outcomes well match the real big data of life cycle trends, and validity and robustness can be achieved. According to multiple criteria (spans, peaks, ratios, and distributions), the fitness between simulations and real big data has been substantially supported. Therefore, our Agent-Based Modeling well grasps the micro-level mechanisms of real-world individuals (netizens), based on which we can predict individual behaviors of netizens and big data trends of specific online events. Based on our model, it is feasible to model, calculate, and even predict evolutionary dynamics and life cycles trends of online collective actions. It facilitates public administrations and social governance.

The effects of cyberbullying victimization on cyberbullying perpetration among Chinese college students: callous-unemotional traits and the moderating role of Internet morality

“…The anonymity of the Internet makes it less costly for Internet users to interact with each other, with little time and space constraints. It reduces the expected cost of punishment ( Zhang et al, 2021 ), exacerbating the shift from cyberbullying victimization to cyberbullying perpetration.…”

“…It reduces the expected cost of punishment Co-moderating role of the callous-unemotional traits and Internet morality between cyberbullying victimization and cyberbullying perpetration. (Zhang et al, 2021), exacerbating the shift from cyberbullying victimization to cyberbullying perpetration.…”