基于网络信息的社会动力学研究

Social Dynamics Research Based on Web Information

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。

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 ＋ 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.