中文版 | English
Title

Toward economic function of elite social networks

Author
Corresponding AuthorJiang, Xiong-Fei
Publication Years
2023-10-01
DOI
Source Title
ISSN
0577-9073
Volume85
Abstract
Quantifying historical developments is crucial for understanding a large variety of complex processes from economy to political conflict, population dynamics and urban evolution. Yet the driving force of emergent processes in history is a product of complex interactions among massive individuals, in which the elite class plays a vital role. With the social relations of elites in ancient China, the dynamical elite social networks are compiled from the year 618 to 1840. We systematically investigate the dynamical structure of elite social networks, which significantly evolves with major historical events. We detect that the macroeconomic performance affects the structure of elite social networks comprehensively, while only the assortative coefficient and average shortest path length have a predictive ability on the economy. Then the evolutionary game theory is introduced to simulate how the structure of elite social network influences the economy. Our work provides a framework to study the economic function of real-world social networks from the perspective of the elite class.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
Planning Project of Zhejiang Provincial Philosophy and Social Sciences["20NDJC209YB","20NDQN318YB","21NDQN291YB"] ; Major Humanities Social Sciences Research Projects in Zhejiang Higher Education Institutions[2021QN016] ; Zhejiang Provincial Natural Science Foundation of China[LY20G010015] ; NNSF of China["11505099","12175193","11775186"] ; Ningbo Municipal Non-Profit Fund for Applied Research[2019F1033]
WOS Research Area
Physics
WOS Subject
Physics, Multidisciplinary
WOS Accession No
WOS:001078820500001
Publisher
ESI Research Field
PHYSICS
Data Source
Web of Science
Citation statistics
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/583004
DepartmentDepartment of Statistics and Data Science
Affiliation
1.Ningbo Univ Finance & Econ, Coll Finance & Informat, Ningbo 315175, Peoples R China
2.Yunnan Univ, Sch Phys & Astron, Kunming 650091, Peoples R China
3.Southern Univ Sci & Technol, Coll Sci, Dept Stat & Data Sci, Shenzhen 518055, Peoples R China
4.Zhejiang Univ, Dept Phys, Hangzhou 310027, Peoples R China
5.Nanjing Univ, Collaborat Innovat Ctr Adv Microstruct, Nanjing 210093, Peoples R China
Recommended Citation
GB/T 7714
Jiang, Xiong-Fei,Xiong, Long,Bai, Ling,et al. Toward economic function of elite social networks[J]. CHINESE JOURNAL OF PHYSICS,2023,85.
APA
Jiang, Xiong-Fei.,Xiong, Long.,Bai, Ling.,Zhang, Jiu.,Zhao, Na.,...&Zheng, Bo.(2023).Toward economic function of elite social networks.CHINESE JOURNAL OF PHYSICS,85.
MLA
Jiang, Xiong-Fei,et al."Toward economic function of elite social networks".CHINESE JOURNAL OF PHYSICS 85(2023).
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