There are numerous examples of societies with extremely stable mix of contrasting opinions. We argue that this stability is a result of an interplay between society network topology adjustment and opinion changing processes. To support this position we present a computer model of opinion formation based on some novel assumptions, designed to bring the model closer to social reality. In our model, the agents, in addition to changing their opinions due to influence of the rest of society and external propaganda, have the ability to modify their social network, forming links with agents sharing the same opinions and cutting the links with those they disagree with. To improve the model further we divide the agents into `fanatics' and `opportunists', depending on how easy is to change their opinions. The simulations show significant differences compared to traditional models, where network links are static. In particular, for the dynamical model where inter-agent links are adjustable, the final network structure and opinion distribution is shown to resemble real world observations, such as social structures and persistence of minority groups even when most of the society is against them and the propaganda is strong.
Diffusion-driven pattern formation in an opinion dynamical network model
Helmholtz Institute for Functional Marine Biodiversity (HIFMB)（赫尔姆霍兹功能海洋生物多样性研究所）；Carl-von-Ossietzky University, Institute for Chemistry and Biology of the Marine Environment（卡尔·冯·奥西茨基大学，海洋环境化学与生物学研究所）；Alfred-Wegener Institute (AWI), Helmholtz Center for Polar and Marine Research（阿尔弗雷德·魏格纳研究所（AWI），赫尔姆霍兹极地海洋研究中心）
University of Koblenz（科布伦茨大学）；Wroclaw University of Science and Technology（弗罗茨瓦夫科技大学）；Interdisciplinary Centre for Mathematical and Computational Modelling (ICM), University of Warsaw（华沙大学跨学科数学与计算建模中心）；Wroclaw University（弗罗茨瓦夫大学）
Demographic Dependence of Vaccine Adoption under Opinion Persuasion
Eindhoven University of Technology（埃因霍温理工大学）；Politecnico di Milano（米兰理工大学）；University of Applied Sciences of Western Switzerland (HES-SO)（瑞士西部应用科学大学）；Adelaide University（阿德莱德大学）；Purdue University（普渡大学）
Modelling opinion dynamics during crises as complex contagion with feedback
The University of Sydney（悉尼大学）；Centre for Complex Systems, The University of Sydney（悉尼大学复杂系统中心）；Sydney Infectious Diseases Institute, The University of Sydney（悉尼大学悉尼传染病研究所）
Collective decision-making with higher-order interactions on $d$-uniform hypergraphs
IMT School for Advanced Studies（意大利高等研究学院）；MoCLiS Research Group, Dschang, Cameroon.（喀麦隆德尚莫克利斯研究组）；Department of Mathematics and Namur Institute for Complex Systems, naXys Université de Namur（南锡大学数学系与南锡复杂系统研究所，naXys）；Faculty of Computer Science and Namur Institute for Complex Systems, naXys Université de Namur（南锡大学计算机科学与南锡复杂系统研究所，naXys）
DynamiX: Large-Scale Dynamic Social Network Simulator
School of Information Science and Technology, University of Science and Technology of China（信息科学与技术学院，中国科学技术大学）；Department of Computer Science, University of Rochester（计算机科学系，罗切斯特大学）
