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Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining最新文献

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An agent-based approach to modeling online social influence 基于主体的在线社会影响建模方法
The aim of this study is to better understand social influence in online social media. Therefore, we propose a method in which we implement, validate and improve an individual behavior model. The behavior model is based on three fundamental behavioral principles of social influence from the literature: 1) liking, 2) social proof and 3) consistency. We have implemented the model using an agent-based modeling approach. The multi-agent model contains the social network structure, individual behavior parameters and the scenario that are obtained from empirical data. The model is validated by comparing the output of the multi-agent simulation with empirical data. We demonstrate the method by evaluating five versions of behavior models applied to the use case of Twitter behavior about a talent show on Dutch television.
本研究的目的是为了更好地理解在线社交媒体中的社会影响力。因此,我们提出了一种实现、验证和改进个体行为模型的方法。该行为模型基于文献中关于社会影响的三个基本行为原则:1)喜好,2)社会认同和3)一致性。我们使用基于代理的建模方法实现了该模型。多智能体模型包含从经验数据中获得的社会网络结构、个体行为参数和场景。通过将多智能体仿真结果与经验数据进行对比,验证了模型的有效性。我们通过评估五个版本的行为模型来演示该方法,这些模型应用于Twitter关于荷兰电视选秀节目的行为用例。
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引用次数: 2
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Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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