Method of analyzing the influence of network structure on information diffusion
Method of analyzing the influence of network structure on information diffusion
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DOI：
10.1016/j.physa.2012.02.031
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发表时间：
2012-07
影响因子：
3.3
通讯作者：
K. Nagata;S. Shirayama
中科院分区：
文献类型：
--
作者：
K. Nagata;S. Shirayama
社会现象受到由人际关系组成的网络结构的影响。在本文件中，人们之间的信息传播进行审查。特别是，网络结构和动力学之间的关系进行了研究。首先，使用所提出的网络模型和其他网络模型，如WS模型和KE模型，生成几个网络。通过改变网络模型的参数，生成不同结构的网络。网络模型的参数决定了网络的拓扑结构和统计指标。其次，通过一个简单的网络信息扩散模型，通过数值模拟研究了网络结构对信息扩散的作用。两种数据挖掘方法被用来分析结果。神经网络使用六个解释变量预测收敛速度和时间，决策树揭示了对信息扩散有很大影响的统计指标。在这些分析之后，显示了解释信息扩散的重要统计变量。
Social phenomena are affected by the structure of networks consisting of personal relationships. In the present paper, the diffusion of information among people is examined. In particular, the relationship between the network structure and the dynamics is studied. First, several networks are generated using the proposed network model and other network models, such as the WS model and the KE model. By changing the parameters of the network models, networks with different structures are generated. The parameters of the network models determine the topology of the networks and the statistical indicators. Second, the role of network structure on information diffusion is investigated through numerical simulations using a simple information diffusion model of the networks. Two data mining methods are used to analyze the results. A neural network predicts the convergence rate and the time using six explanatory variables, and a decision tree reveals the statistical indicator that has a strong effect on the information diffusion. After these analyses, important statistical variables explaining the information diffusion are shown.