在線社交網絡分析（簡體書）

This book focuses on the interaction among three elements of online social networks, i.e. structure, group and information.The structure characteristics and its evolution mechanism, the formation and interaction of group behaviors, and the propagation models and evolution rules of information are discussed in details. This book provides an important theoretical foundation for social network analysis and research on network information dissemination。

In the 21st century, human beings are highly dependent on data, and have deeply fit into the information society, in which a huge function platform has been established by online social networks. Human beings are stating their viewpoints, making friends, and interacting on Twitter, Facebook, LinkedIn, Sina MicroBlog, WeChat and other social networks. Hundreds of million pieces of information are generated each day, and massive amounts of information is conveniently available to people. Online social networking is changing the human behavior models and the social formation, and social network data is becoming the most mature big data. By using the technique of big data, it is hopeful that people’s understanding on user behaviors and social phenomenon, which are behind the big data of online social networks, may reach an unprecedented depth.
The analysis of online social networks relates to computing science, sociology, management, psychology and many other subject areas. As a Chief Scientist of Project 973, i.e. “Fundamental Research of Social Network Analysis and Network Information Transmission”, and in my engagement in the research of online social networks, I myself deeply felt that this field lacked a treatise, which systematically elaborates the concept, theories and techniques of online social network analysis from a multi-disciplinary angle. Hence, I organized team members of the Project 973, including National University of Defense Technology, Shanghai Jiao Tong University, Hefei University of Technology, Beijing University of Post ＆ Communication, Institute of Computing Technology, CAS, Peking University, University of Science and Technology Beijing, Institute of Information, CAS, and Harbin Institute of Technology, and compiled this book on the basis of the research findings of these teams and a systematic review of relevant theories and techniques at home and abroad, so as to provide theoretical, systematic and instrumental research guides for relevant researchers.
Starting from three core factors of the analysis of online social networks, i.e. “Structure and Evolution”, “Groups and Interaction” and “Information and Communication”, this book includes 12 chapters. Chapter 1 Introduction leads the entire book, and is written by myself; Chapter 2 to Chapter 4 are about the first core factor, namely, “Structure and Evolution”: Chapter 2 Analysis and Modeling of Social Network Structure Characteristics is written by Professor Jin XU and Professor Hongli ZHANG; Chapter 3 Detection Techniques and Approaches for Virtual Communities is written by Professor Jianhua LI; Chapter 4 The Evolution and Analysis of Virtual Communities is written by Researcher Xueqi CHENG. Chapter 5 to Chapter 8 are about the second core factor, namely, “Groups and Interaction”: Chapter 5 Analysis of User Behaviors is written by Academician Shanlin YANG; Chapter 6 Social Network Sentiment Analysis is written by Professor Bin ZHOU and me; Chapter 7 Individual Influence Analysis and Technique is written by Professor Yan JIA and me; Chapter 8 Group Aggregation and Influence Mechanism is written by Professor Jiayin QI. Chapter 9 to Chapter 12 are about the third core factor, namely, “Information and Communication”: Chapter 9 Information Retrieval for Social Networks is written by Professor Senior Engineer Li GUO; Chapter 10 Rules of Information Diffusion in Social Networks is written by Professor Changjun HU; Chapter 11 Topic Discovery and Evolution is written by Professor Xindong WU; Chapter 12 Influence Maximization Algorithms is written by Researcher Xiangke LIAO.
Sincere appreciation to the following experts and scholars participating in the data collection, content arrangement and achievement contribution of this book (Listed in the order of the number of stokes in their surnames): Zhaoyun DING, Xiaomeng WANG, Bin WANG, Yezheng LIU, Xiaodong LIU, Shenghong LI, Aiping LI, Lei LI, Shiyu DU, Peng WU, Xiuzhen CHEN, Wei CHEN, Yang YANG, Lumin ZHANG, Peng SHI, Yuanchun JIANG and so on.
Thanks Associate Professor Shudong LI for the careful coordinat