The book adopts a technology-driven, application-oriented, and interdisciplinary approach to study social complex systems. It centers on the development of a simulation platform: first, it builds core technical supports; then, it integrates key functional modules; finally, it applies the platform to multiple real-world fields to solve practical problems through simulation. This approach combines theoretical modeling with technical implementation and scenario application, forming a "theory-technology-application" closed loop.
The book’s content covers three main dimensions, with a broad and systematic scope:
Technical foundation: Design and implementation of the simulation platform, including no-code modeling environment, high-performance parallel simulation engine, and core functional modules.
Field applications: Simulation research on typical social complex systems, such as global supply chain resilience, energy transition socio-technical systems, financial market systemic risk, urbanization and land-use change, and online social network information diffusion.
Theoretical and forward-looking discussion: Review of theoretical foundations of social complex systems, research framework construction, and prospects for simulation platforms as social science infrastructure, along with ethical and governance issues.
The book targets a multi-disciplinary audience, including: 1) Researchers and graduate students in social sciences and technical fields Practitioners in policy-making and enterprise management who need simulation tools for decision support; 3) Developers and technicians engaged in simulation platform design and application.
About the Author :
Desheng Wu is a Distinguished Professor with the Economics and Management School, University of Chinese Academy of Sciences, Beijing, China, and a Academic VP at Shandong University of Finance and Economics . He has published over 150 ISI-indexed papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and the IEEE Transactions on Systems, Man, and Cybernetics, and seven books at Springer. His current research interests include mathematical modeling of systems containing uncertain and risky situations, with special interests in the finance-economics operations interface, maximizing operational and financial goals using the methodologies for game theory, and large-scale optimization., Prof. Wu was a recipient of the ten big impact articles in the Journal of the Operational Research Society, the Elsevier Most Cited Researcher in 2019, the Top 25 Hottest Article in Elsevier Journals, and the Best Paper Award Most Cited Articles in Human and Ecological Risk Assessment. He has served as an Associate Editor and a Guest Editor for several journals, such as Risk Analysis, the IEEE Transactions on Systems, Man, and Cybernetics: Systems, Annals of Operations Research, Computers and Operations Research, International Journal of Production Economics, and Omega. He serves as the Book Series Editor on Computational Risk Management (Springer). He has been invited to give plenary lectures and keynote talks in various international conferences more than 20 times. He is an Elected Member of Academia Europaea (The Academy of Europe), the European Academy of Sciences and Arts, etc.
Minfeng Xu is a lecturer at the School of Computing and Artificial Intelligence, Shandong University of Finance and Economics. He received the Ph.D. in Engineering from Shandong University in 2019, and his research interests include computer graphics and computational geometry. He has authored or coauthored 10 papers in international journals and conferences, and received best paper award at GDC2022.
Jingdong Li currently serves as a Lecturer at the School of Finance, Shandong University of Finance and Economics. He obtained his Bachelor's and Doctoral degrees in Software Engineering from East China Normal University between 2014 and 2023. He has worked as an intern at Alibaba and held a position at Bank of China. His research focuses on data mining, graph computing, and other related fields. He has published a number of CCF-level papers (such as 2021 IEEE 37th International Conference on Data Engineering (ICDE))and participated in 3 research projects, including the "Open Bidding" key R&D program project of the Ministry of Science and Technology.
Ljubomir Kekenovski is a dedicated academic and researcher affiliated with the Faculty of Computer Science and Engineering at SS. Cyril and Methodius University in Skopje, North Macedonia. His research primarily focuses on computer networks, cybersecurity, and information systems, with a focus on optimizing network performance and enhancing digital security protocolsHe has published numerous peer-reviewed papers in international journals and conference proceedings, contributing insights to practical solutions for network-related challenges. Beyond research, he plays an active role in teaching, mentoring undergraduate and graduate students in computer science disciplines. He also engages in collaborative projects with regional tech institutions, striving to bridge academic research with real-world technological applications. His work supports the advancement of digital infrastructure and cybersecurity practices in North Macedonia and beyond.
