文献类型：期刊文献

英文题名：Community Size and User Migration: Population Model Based on opinion Dynamics

作者：FangYiKuang, Ding[1]; Yang, Li[1]

机构：[1] Department of Sociology, East China University of Science and Technology, Shanghai, China

年份：2022

外文期刊名：arXiv

收录：EI(收录号：20220283287)

语种：英文

外文关键词：Machine learning - Population statistics

摘要：Due to its significance in the recommendation system and community operations, user migration has garnered the interest of experts from numerous disciplines. However, contemporary research frequently overlooks the theory behind related prediction techniques, such as the Hidden Markov model. By combining the two fundamental processes of"opinion evolution" and"individual migration" in this research, the mechanistic explanation of online user migration is established and merged into a composite model. Simultaneously, some fundamental theorems and exploratory conclusions related to our model’s consensus and steady population state are established via theoretical proof and numerical simulation. Copyright ? 2022, The Authors. All rights reserved.