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基于度与K-核的创新扩散网络节点传播能力度量

发表时间:2017-01-23  浏览量:1187  下载量:301
全部作者: 于明亮,韩景倜
作者单位: 上海理工大学公共实验中心;上海财经大学信息管理与工程学院;上海财经大学实验中心,上海市金融信息技术研究重点实验室
摘 要: 创新扩散网络中的节点传播能力度量具有十分重要的意义。节点的传播能力不仅取决于节点的局部信息,也受其网络位置影响,本文综合节点度和K-核信息提出新的节点传播能力度量方法。实证数据集上的仿真结果表明,采用该方法的Kendall’s Tau相对于度和K-核方法最大可以分别提高6.80%和13.61%. 本文提出的方法时间复杂度低,也适用于大规模网络的节点创新传播能力度量。
关 键 词: 系统管理理论;节点传播能力;创新扩散;度分布;K-核方法
Title: Ranking node spreading influence based on degree and K-shell method in innovation diffusion network
Author: YU Mingliang, HAN Jingti
Organization: Public Experiment Center, University of Shanghai for Science and Technology; School of Information Management and Engineering, Shanghai University of Finance and Economics; Shanghai Key Laboratory of Financial Information Technology, Laboratory Center, Shanghai University of Finance and Economics
Abstract: Ranking node spreading influence is of significance for innovation diffusion. We argue that the node spreading influence not only depends on not only the local information, but also the location of the node. In this paper, we propose an improved method integrating the node degree and K-shell value to rank the node spreading influence in innovation diffusion. The simulation results demonstrate that the Kendall’s Tau in the novel method, largely improved by 6.80% and 13.61% respectively, comparing with that in the degree and K-shell methods. Furthermore, our method can be used to rank the node spreading influence in large scale network because of its low time complexity.
Key words: system management theory; node spreading influence; innovation diffusion; degree centrality; K-shell method
发表期数: 2017年1月第2期
引用格式: 于明亮,韩景倜. 基于度与K-核的创新扩散网络节点传播能力度量[J]. 中国科技论文在线精品论文,2017,10(2):224-229.
 
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