论文标题
社区规模和用户迁移：基于意见动态的人口模型
Community Size and User Migration: Population Model Based on opinion Dynamics
论文作者
论文摘要
由于其在推荐系统和社区运营中的重要性，用户迁移吸引了来自众多学科的网络人口统计学专家的兴趣。但是，当代研究经常忽略相关预测技术背后的理论，例如隐藏的马尔可夫模型。通过在这项研究中结合“意见进化”和“个人迁移”的两个基本过程，建立了在线用户迁移的机理解释，并将其合并为复合模型。同时，通过理论证明和数值模拟建立了与我们的模型共识和稳定人口状态有关的一些基本定理和探索性结论。
Due to its significance in the recommendation system and community operations, user migration has garnered the interest of cyber-demography 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.
