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An evolutionary game model for analysis of rumor propagation and control in social networks

机译:一种进化博弈模型,用于分析谣言传播与社交网络控制

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Nowadays, social networks are widely used as fast and ubiquitous media for sharing information. Rumor as unverified information also considerably spreads in social networks. The study of how rumor spreads and how it can be controlled, plays an important role in reducing social and psychological damages of rumor in social networks. Although recent researches have mainly focused on epidemic models and structure of social networks, they ignore the impact of people's decision on rumor process. In this paper, an evolutionary game model is proposed to analyze the rumor process in social network considering the impacts of people's decisions on rumor propagation and control. The model considers a rumor control mechanism via sending anti-rumor messages through rumor control centers. Factors affecting the people's decisions including social anxiety, people's attitude toward rumor/anti-rumor, strength of rumor/anti-rumor, influence of rumor control centers, and participation of people in discussions are studied in the model. The proposed game model is analyzed by replicator dynamics equations and simulation of the imitation update rule on a synthetic (Barabasi-Albert) and two real-world graphs of Twitter and Facebook. We further analyze the model in various environments considering people characteristics and society situation. Also we use a real rumor dataset of Twitter (Pheme dataset) to first compare the trends of people strategies (rumor/anti-rumor spreader and ignorant) derived by the model with the real trends of the traits of people in the rumor spreading on Twitter. Then we conduct a number of sensitivity analysis experiments to show the impact of different factors on rumor process. In fact, we analyze the trends of people strategies in Pheme dataset assuming various possible conditions. The analysis show that propagation of convincing anti-rumor messages and locating rumor control centers impact debunking the rumor. Moreover, it is shown that people attitude toward rum
机译:如今,社交网络被广泛用作共享信息的快速和无处不在的媒体。谣言随着未验证的信息,在社交网络中也大大差异。研究如何传播和如何控制如何控制,在减少社会网络中的谣言的社会和心理损害方面起着重要作用。尽管最近的研究主要集中在社交网络的流行模式和结构上,但他们忽略了人们对谣言过程的影响。本文提出了一种进化博弈模型,以分析社会网络中的谣言过程,了解人们决定对谣言传播和控制的影响。该模型通过谣言控制中心发送抗谣言消息来考虑谣言控制机制。在模型中,研究了影响人民决定,包括社会焦虑,人民对谣言/抗谣言,谣言的强度,谣言控制中心的影响,讨论中的人们参与,讨论中的人们的态度。通过Replicator Dynamics方程分析所提出的游戏模型,并在合成(Barabasi-Albert)上的模仿更新规则的仿真和推特和Facebook的两个真实世界图。考虑到人们特征和社会情况,我们进一步分析了各种环境中的模型。此外,我们使用Twitter(Pheme DataSet)的真正的谣言数据集首先比较模型中的人们策略(谣言/抗谣言蔓延和无知)的趋势,其具有在Twitter上传播中谣言的人们特征的真实趋势。然后我们进行多种敏感性分析实验,以显示不同因素对谣言过程的影响。事实上,假设各种可能的条件,我们分析了Pheme数据集中人民策略的趋势。分析表明,令人信服的抗谣言信息和定位谣言控制中心的传播会影响谣言。而且,它表明人们对朗姆酒的态度

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