通信学报 ›› 2013, Vol. 34 ›› Issue (4): 1-9.doi: 10.3969/j.issn.1000-436x.2013.04.001

• 学术论文 •    下一篇

基于信息传播的社交网络拓扑模型

刘衍珩1,2,李飞鹏1,2,孙鑫1,2,朱建启1,2   

  1. 1 吉林大学 计算机科学与技术学院,吉林 长春130022
    2 吉林大学 符号计算与知识工程教育部重点实验室,吉林 长春130012
  • 出版日期:2013-04-25 发布日期:2017-07-17
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家发改委下一代互联网业务试商用及设备产业化专项基金资助项目;吉林省科技发展计划—青年科研基金资助项目;吉林大学研究生创新基金资助项目

Social network model based on the transmission of information

Yan-heng LIU1,2,Fei-peng LI1,2,Xin SUN1,2,Jian-qi ZHU1,2   

  1. 1 College of Computer Science and Technology,Jilin University,Changchun 130022,China
    2 The Key Laboratory of Symbolic Computation and Knowled ngineering of Ministry of Education,Jilin University,Changchun 130012,China
  • Online:2013-04-25 Published:2017-07-17
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Science Foundation for Youth of Jilin Province;The Graduate Innovation Fund of Jilin University

摘要:

研究社交网络的拓扑结构有利于深刻理解信息在人际网络中的传播过程以及社交网络所具有的拓扑特性。考虑到信息传递具有有向性,通过结合现实生活中信息传播所遵循的规律构造加权有向拓扑模型模拟信息传递的动态性,从而更好地仿真社交网络的拓扑结构。实验结果表明,模型所生成网络的拓扑结构的度、势分布以及度—势相关性具有明显的幂律分布特性;同时,通过分析所生成网络的聚类系数、核数和基尼系数,验证了其具有社交网络的聚集特性、层次性和异质性。

关键词: 社交网络, 拓扑建模, 仿真模型, 信息传播, 无标度

Abstract:

The topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network.Considering the directed characteristic of information spread,the dynamic process of information dissemination was simulated,and moreover,the weighted directed topology model in order to well emulate the topology structure of the social network was constructed.Simulation results show the degree and strength distribution as well as the correlation between degree and strength of the network generate by the topology model embody obvious power-law characteristic,and meanwhile,through analyzing the clustering coefficient,coreness and Gini coefficient of the network,the generated network has the characteristics of clustering,layer and heterogeneity which are shown in the real friendship network is verified.

Key words: social network, topology modeling, simulation model, transmission of information, scale-free

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