A growing social networks model of physical objects in IoT

作     者：Li Ali Zhai Yun 李阿丽;Zhai Yun

作者机构：School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 P. R. China School of Information and Electrical Engineering Ludong University Yantai 264025 P. R. China E-Government Research Center Chinese Academy of Governance Beijing 100089 P. R. China 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2018年第24卷第2期

页      面：163-168页

核心收录：

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 13[艺术学] 0809[工学-电子科学与技术（可授工学、理学学位）] 081104[工学-模式识别与智能系统] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

基　　金：Supported by the National Natural Science Foundation of China(No.61672178 61601458) 

主　　题：Internet of Things(IoT) social networks physical objects 

摘      要：In Internet of Things （IoT） cial networks of physical objects , physical objects can build their own social networks. How do so- generate, and what characteristics do the social networks have. In order to solve these problems, according to the interaction of physical objects in IoT, this paper presents a growing social network model of physical objects and researches the attachment mecha- nism of the model that includes three modes, physical distance, social distance and preference. Through the simulation realizations of the model, the characteristics （e. g. degree distribution, com- munity structure） of social network are analyzed. The model can forecast the growth of social networks of physical object in IoT and simulate social networks of physical objects in the large scale IoT.