caa a22 4500 606229191 CHVBK 20210128101207.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s10796-014-9483-8 doi (NATIONALLICENCE)springer-10.1007/s10796-014-9483-8 Social balance in signed networks [Elektronische Daten] [Xiaolong Zheng, Daniel Zeng, Fei-Yue Wang] The theory of social balance, also called structural balance, is first proposed by Heider in 1940s, which is utilized to describe the potential social dynamics process. This theory is of great importance in sociology, computer science, psychology and other disciplines where social systems can be represented as signed networks. The social balance problem is hard but very interesting. It has attracted many researchers from various fields working on it over the past few years. Many significant theories and approaches have been developed and now exhibit tremendous potential for future applications. A comprehensive review of these existing studies can provide us significant insights into understanding the dynamic patterns of social systems. Yet to our investigation, existing studies have not done this, especially from a dynamical perspective. In this paper, we make an attempt towards conducting a brief survey of these scientific activities on social balance. Our efforts aim to review what has been done so far in this evolving area. We firstly introduce the fundamental concepts and significant properties of social balance. Then we summarize the existing balance measures and present detecting/partitioning algorithms, as well as important empirical investigations in both physical world and cyberspace. We next mainly focus on describing and comparing the fundamental mechanisms of the dynamics models. Several existing problems not yet satisfactorily solved in this area are also discussed. Springer Science+Business Media New York, 2014 Social balance nationallicence Signed networks nationallicence Empirical study nationallicence Dynamics model nationallicence Zheng Xiaolong The State Key Laboratory of Management and Control for Complex Systems of Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China aut Zeng Daniel The State Key Laboratory of Management and Control for Complex Systems of Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China aut Wang Fei-Yue The State Key Laboratory of Management and Control for Complex Systems of Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/5(2015-10-01), 1077-1095 1387-3326 17:5<1077 2015 17 10796 https://doi.org/10.1007/s10796-014-9483-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-014-9483-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zheng Xiaolong The State Key Laboratory of Management and Control for Complex Systems of Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China aut NATIONALLICENCE 700 1- Zeng Daniel The State Key Laboratory of Management and Control for Complex Systems of Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China aut NATIONALLICENCE 700 1- Wang Fei-Yue The State Key Laboratory of Management and Control for Complex Systems of Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/5(2015-10-01), 1077-1095 1387-3326 17:5<1077 2015 17 10796