Social influence and spread dynamics in social networks

作     者：Xiaolong ZHENG Yongguang ZHONG Daniel ZENG Fei-Yue WANG 

作者机构：State Key Laboratory of Management and Control for Complex SystemsInstitute of AutomationChinese Academy of SciencesBeijing 100190China Department of Management Science and EngineeringQingdao UniversityQingdao 266071China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2012年第6卷第5期

页      面：611-620页

核心收录：

学科分类：050302[文学-传播学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 05[文学] 08[工学] 081201[工学-计算机系统结构] 0503[文学-新闻传播学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：国家自然科学基金 The Humanities and Social Sciences General Education Project of Chinese Ministry of Education The Soft Science Research Projects of Qingdao City 中国科学院项目 

主　　题：social networks spread dynamics social influence computational experiment 

摘      要：Social networks often serve as a critical medium for information dissemination, diffusion of epidemics, and spread of behavior, by shared activities or similarities be- tween individuals. Recently, we have witnessed an explosion of interest in studying social influence and spread dynamics in social networks. To date, relatively little material has been provided on a comprehensive review in this field. This brief survey addresses this issue. We present the current significant empirical studies on real social systems, including network construction methods, measures of network, and newly em- pirical results. We then provide a concise description of some related social models from both macro- and micro-level per- spectives. Due to the difficulties in combining real data and simulation data for verifying and validating real social sys- tems, we further emphasize the current research results of computational experiments. We hope this paper can provide researchers significant insights into better understanding the characteristics of personal influence and spread patterns in large-scale social systems.