Platform physics: modeling the complexity and dynamics of socio-economic platforms

Sociophysics and econophysics are established interdisciplinary fields that use mathematical and computational models and tools inspired by physics to understand, describe and predict the behavior of human crowds (in sociophysics) and economic agents, including individual agents and markets (in econophysics). The emerging field of platform economy has experienced rapid growth, improved traditional economic models and contributed significantly to the global economy. Platforms such as Amazon, X (Twitter), Instagram, Facebook, WeChat, Airbnb, Uber, DiDi, Microsoft, Baidu and Google encompass economic and social activities, enabling interactions, transactions, collaboration, innovation, and creating strong network effects.

This collection focuses on the mathematical and computational models inspired by physics to study and understand platforms. This includes models of individual behavior, network dynamics, and the interactions between platforms and users. Modeling the complexity and dynamics of socio-economic platforms is an emerging topic, and the mathematical and computational models used to study it are constantly improving. This issue will bring together leading experts in the field to share their latest research and insights.

Topics covered include, but are not limited to:

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Guest Editors

Professor Ljupco Kocarev, Macedonian Academy of Sciences and Arts, Skopje, Macedonia

Professor Desheng Wu, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

Professor Jing Xu, East China University of Science and Technology, Shanghai, China

Professor Arnab Pal, The Institute of Mathematical Sciences, Chennai, India, Email

Professor Lasko Basnarkov, Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia

Professor Ervin Kaminski Lenzi, Universidade Estadual de Maringá, Maringá, Brasil