计算机应用 ›› 2015, Vol. 35 ›› Issue (9): 2457-2460.DOI: 10.11772/j.issn.1001-9081.2015.09.2457

• 网络与通讯 • 上一篇    下一篇

基于用户兴趣相似性的节点移动模型

高媛, 王淑敏, 孙建飞   

  1. 中北大学 计算机与控制工程学院, 太原 030051
  • 收稿日期:2015-04-09 修回日期:2015-05-27 出版日期:2015-09-10 发布日期:2015-09-17
  • 通讯作者: 高媛(1972-),女,山西太原人,副教授,硕士,主要研究方向:无线传感器网络、机会网络、人工智能,caiyecao505@163.com
  • 作者简介:王淑敏(1988-),女,河北沙河人,硕士研究生,主要研究方向:机会网络、社会网络;孙建飞(1988-),男,山西吕梁人,硕士研究生,主要研究方向:机会网络、网络编码。

Node mobility model based on user interest similarity

GAO Yuan, WANG Shumin, SUN Jianfei   

  1. School of Computer and Control Engineering, North University of China, Taiyuan Shanxi 030051, China
  • Received:2015-04-09 Revised:2015-05-27 Online:2015-09-10 Published:2015-09-17

摘要: 针对现实生活中人们的社交关系和兴趣爱好对节点进行社会活动的驱动作用,提出了一种基于用户兴趣相似性的节点移动模型。该模型将节点对活动的感兴趣程度抽象为一个兴趣概率矩阵,利用皮尔逊相关系数计算节点的兴趣相似群体。仿真实验表明,该模型在一定时间范围内节点的相遇时间间隔和相遇持续时间的互补累积分布函数近似服从幂律分布,更加接近真实数据集统计结果得到的曲线,同时也表明了节点在进行夜间活动时,具有很强的时空规律性。

关键词: 社交关系, 兴趣, 皮尔逊相关系数, 移动模型

Abstract: According to the driving effect of people's social relations and interests on the social activities of nodes,a mobility model based on user interest similarity was presented.The interest degree of node to the activities was described with a interest probability matrix,and Pearson correlation coefficient was used to calculate the similar interest groups of nodes.Simulation results show that,the complementary cumulative density function of inter-contact time and contact duration in a certain time approximately follows power-law distribution,which is more consistent with the curve obtained from statistical results of real data set.Additionally, strong space-time regularity is observed when nodes are involved in the activities in the evening.

Key words: social relation, interest, pearson correlation coefficient, mobility model

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