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; 2) Developers and technicians engaged in simulation platform design and application.

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; 2) Developers and technicians engaged in simulation platform design and application.

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; 2) Developers and technicians engaged in simulation platform design and application.