%A Zhu Hou %T Co-evolution of Social Networks and Public Opinion Considering the Effect of Trust and Authority %0 Journal Article %D 2015 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2015.10.07 %P 50-57 %V 31 %N 10 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4142.shtml} %8 2015-10-25 %X

[Objective] Study on co-evolution rules of social networks and public opinion considering the effects of trust and authority. [Methods] Design a computational model of trust and authority, express interactive mechanism of public opinion by relative agreement model, then analyse the co-evolving process of dynamic social networks and public opinion based on computational experiment. [Results] The experiment results show that the consistency of public opinion in the scenario of dynamic social networks is lower than the static networks, and the informal groups are easier to form. The trust values follow the power-law distribution, but it is not sure that the authoritative individuals hold high trust friendship. [Limitations] The cognitive computational models are embedded into the opinion model through parameter passing, and the synergistic mode between them needs to be improved. [Conclusions] Trust and authority influence the co-evolution process significantly; the organization should control the authoritative individuals to guide the direction of public opinion.