Opinion dynamics in social networks under competition: the role of influencing factors in consensus-reaching.
Opinion dynamics in social networks under competition: the role of influencing factors in consensus-reaching.
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DOI：
10.1098/rsos.211732
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发表时间：
2022-05
影响因子：
3.5
通讯作者：
中科院分区：
文献类型：
--
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信息技术和社交媒体的快速发展为人们提供了获取有关个人偏好和社交互动的海量数据的便捷途径。尽管存在一系列问题，如隐私泄露和数据敏感性，但不可否认的是，这种访问也为涉及舆论控制的竞选活动(例如营销活动和政治选举)提供了有益的机会和便利。观点的盈利性和个人注意力的有限性已经在社交网络上引发了对个人偏好的广泛竞争。在一个竞争的环境中，有必要研究社会网络上的意见动态。为此，本文提出了一种新的基于竞争博弈的社会网络DeGot模型(DGCG)来刻画竞争性意见动态中的意见演化。基于信任关系的社交交互被捕获在DGCG模型中。从模型中，我们得到了意见演化稳定状态下的均衡结果。我们还分析了相关因素在最终共识和竞争结果中的作用，包括两位参赛者的资源比例、初始意见、自信心和网络结构。理论分析和数值模拟表明，这些因素可以显著动摇共识，甚至逆转竞争结果。
The rapid development of information technology and social media has provided easy access to the vast data on individual preferences and social interactions. Despite a series of problems, such as privacy disclosure and data sensitivity, it cannot be denied that this access also provides beneficial opportunities and convenience for campaigns involving opinion control (e.g. marketing campaigns and political election). The profitability of opinion and the finiteness of individual attention have already spawned extensive competition for individual preferences on social networks. It is necessary to investigate opinion dynamics over social networks in a competitive environment. To this end, this paper develops a novel social network DeGroot model based on competition game (DGCG) to characterize opinion evolution in a competitive opinion dynamics. Social interactions based on trust relationships are captured in the DGCG model. From the model, we then obtain equilibrium results in a stable state of opinion evolution. We also analyse what role relevant factors play in the final consensus and competitive outcomes, including the resource ratio of both contestants, initial opinions, self-confidence and network structure. Theoretical analyses and numerical simulations show that these factors can significantly sway the consensus and even reverse competition outcomes.
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