基于网络信息的社会动力学研究

摘要

主要介绍了传染病、谣言与计算机病毒、社会标签、网络通信以及社会群体等的社会动力学研究概况,阐述了复杂网络、系统动力学、人工社会以及ACP(人工社会+计算实验+平行执行)等社会动力学研究中常用的4类研究方法,分析了社会动力学在公共安全以及电子商务等相关领域的应用状况,并强调了现有社会动力学研究过程中所遇到的一些问题.%Abstract: In this paper, we mainly review the state of a wide list of topics ranging from infectious diseases, rumor and computer viruses, social bookmarking systems, network communications, and social groups. We introduce briefly some significant approaches such as complex networks, system dynamics, artificial society and ACP (Artificial society + Computational experiment 4-Parallel execution ) in this field and then analyze some SD-related applications in public safety and e-commerce fields. We also highlight some problems in existing social dynamics research.