近年来，观点动力学作为计算机、控制科学、物理学、社会学、心理学、经济学和生物学等学科的交叉研究热点迅速兴起，取得了丰硕的成果。在日常生活中，人们通过交换对特定话题的信息来形成自己的观点，个体相互之间的频繁互动促进了观点在网络中的传播和扩散。从社会宏观层面看，所有个体观点的聚合最终形成了社会的整体观念或文化。作为复杂网络科学的研究热点之一，观点动力学被广泛应用于研究社会系统中的行为决策、意见共识、极化分裂、偏好趋同、群智涌现等现象。

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2. 王龙, 田野, 杜金铭. 社会网络上的观念动力学[J]. 中国科学: 信息科学, 2018, 48: 3-23, doi: 10.1360/N112017-00096.

3. Proskurnikov A V, Tempo R. A tutorial on modeling and analysis of dynamic social networks. Part I[J]. Annual Reviews in Control, 2017, 43: 65-79.

4. Proskurnikov A V, Tempo R. A tutorial on modeling and analysis of dynamic social networks. Part II[J]. Annual Reviews in Control, 2018, 45: 166-190.

5. Flache A, Mäs M, Feliciani T, et al. Models of social influence: Towards the next frontiers[J]. Journal of Artificial Societies and Social Simulation, 2017, 20(4).

6. Noorazar H, Vixie K R, Talebanpour A, et al. From classical to modern opinion dynamics[J]. International Journal of Modern Physics C, 2020, 31(07): 2050101.

7. Noorazar H. Recent advances in opinion propagation dynamics: A 2020 Survey[J]. arXiv preprint arXiv:2004.05286, 2020.

8. Friedkin N E. The problem of social control and coordination of complex systems in sociology: A look at the community cleavage problem[J]. IEEE Control Systems Magazine, 2015, 35(3): 40-51.

9. Castellano C, Fortunato S, Loreto V. Statistical physics of social dynamics[J]. Reviews of modern physics, 2009, 81(2): 591.（补充一个早期的经典综述）

在此列出近年来相关研究综述论文，仅供参考，希望能给新入门同学提供帮助。

2020-11-11