Game Theory and Social Networks in Mathematics and Economics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".

Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 1118

Special Issue Editors


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Guest Editor
Department of Economics and Statistics, Università di Siena, 53100 Siena, Italy
Interests: economics of social networks; game theory; behavioral experiments; analysis of complex networks; homophily; vaccination intentions
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Economics and Statistics, Università di Siena, 53100 Siena, Italy
Interests: economics of social networks and in the analysis of complex networks

Special Issue Information

Dear Colleagues,

Social networks are at the core of many socio-economic processes, as recognized first in the sociological literature and then by the economics literature, and nowadays, they are analyzed in many fields, such as political science, medicine, applied physics and computer science. However, due to the technical difficulties of combining graph theory and game theory, it is only recently that they have been studied systematically and theoretically and there is still no agreement on how to establish the nature of networks, how they form, how to detect communities or assess the propagation of information, news, habits and opinions across networks. Hundreds of papers that apply game theory to the study of networks have been published and with the explosion of big data and the establishment of experimental methods for the social sciences, new invaluable sources of data are also available for the development and testing of these theories.

The focus of this Special Issue is to bring together contributions from researchers from different areas, from mathematics to economics, which will be of great interest for the interdisciplinary community of scholars who study social networks. Papers that study theoretical principles as well as experimental results are expected, with topics ranging from game theoretical models to randomized experiments. Studies that focus on networks, how they form and how they affect the socio-economic environment are also welcome.

Prof. Dr. Paolo Pin
Dr. Alessio Muscillo
Guest Editors

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Keywords

  • game theory
  • social networks
  • analysis of social, economic, and technological networks
  • experiments on social networks
  • complex networks

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Published Papers (1 paper)

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Research

21 pages, 802 KiB  
Article
How Does the Innovation Openness of China’s Sci-Tech Innovation Enterprises Support Innovation Quality: The Mediation Role of Structural Embeddedness
by Haoyang Song, Ruixu Chen, Xiucai Yang and Jianhua Hou
Mathematics 2024, 12(19), 3034; https://doi.org/10.3390/math12193034 - 28 Sep 2024
Viewed by 457
Abstract
Sci-Tech innovation enterprises (STIEs) in China are responsible for improving the quality of national innovation (IQ). Because of their inherent innovation openness (IO), STIEs are facing constantly changing external cooperation channels and gradually optimizing their openness. However, existing research considers external cooperation relationships [...] Read more.
Sci-Tech innovation enterprises (STIEs) in China are responsible for improving the quality of national innovation (IQ). Because of their inherent innovation openness (IO), STIEs are facing constantly changing external cooperation channels and gradually optimizing their openness. However, existing research considers external cooperation relationships as established network environments, which may not apply to STIEs’ network relationships that are still under construction. Hence, this study investigates the impact of STIEs’ IO on IQ by exploring the role of structure embeddedness (SE). Empirical findings from 362 sample enterprises suggest that openness breadth and depth have an inverted U-shaped relationship with IQ, while openness balance impacts IQ positively. Moreover, network centrality plays a partial mediation role between openness depth and IQ, and network reach fully mediates the relationship between openness balance and IQ. The results indicate the influence of three openness factors on IQ and further expand the research on the SE of STIEs in the dynamic development stage. These can support STIEs to improve IQ through the adjustment of network centrality and reach by changing their openness depth and balance. Full article
(This article belongs to the Special Issue Game Theory and Social Networks in Mathematics and Economics)
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