one-of-a-kind introduction to the theory and application ofmodeling and simulation techniques in the realm of internationalstudies
Modeling and Simulation for Analyzing Global Eventsprovides an orientation to the theory and application of modelingand simulation techniques in social science disciplines. This bookguides readers in developing quantitative and numericrepresentations of real-world events based on qualitative analysis. With an emphasis on gathering and mapping empirical data, theauthors detail the steps needed for accurately analyzing globalevents and outline the selection and construction of the best modelfor understanding the event¿s data.
Providing a theoretical foundation while also illustratingmodern examples, the book contains three parts:
* Advancing Global Studies--introduces the what, when, and why of modeling and simulation and also explores itsbrief history, various uses, and some of the advantages anddisadvantages of modeling and simulation in problem solving. Inaddition, the differences in qualitative and quantitative researchmethods, mapping data, and conducting model validation are alsodiscussed.
* Modeling Paradigms--examines various methods ofmodeling including system dynamics, agent-based modeling, socialnetwork modeling, and game theory. This section also explores thetheory and construction of these modeling paradigms, thefundamentals for their application, and various contexts for theiruse.
* Modeling Global Events--applies the modelingparadigms to four real-world events that are representative ofseveral fundamental areas of social science studies: internalcommotion within an anarchic state, a multi-layered study of theSolidarity movement in Poland, uni-lateral military intervention, and the issue of compellence and deterrence during a nationalsecurity crisis.
Modeling and Simulation for Analyzing Global Events is anexcellent book for statistics, engineering, computer science, economics, and social sciences courses on modeling and simulationat the upper-undergraduate and graduate levels. It is also aninsightful reference for professionals who would like to developmodeling and simulation skills for analyzing and communicatinghuman behavior observed in real-world events and complex globalcase studies.
Modeling and Simulation for Analyzing Global Eventsprovides an orientation to the theory and application of modelingand simulation techniques in social science disciplines. This bookguides readers in developing quantitative and numericrepresentations of real-world events based on qualitative analysis. With an emphasis on gathering and mapping empirical data, theauthors detail the steps needed for accurately analyzing globalevents and outline the selection and construction of the best modelfor understanding the event¿s data.
Providing a theoretical foundation while also illustratingmodern examples, the book contains three parts:
* Advancing Global Studies--introduces the what, when, and why of modeling and simulation and also explores itsbrief history, various uses, and some of the advantages anddisadvantages of modeling and simulation in problem solving. Inaddition, the differences in qualitative and quantitative researchmethods, mapping data, and conducting model validation are alsodiscussed.
* Modeling Paradigms--examines various methods ofmodeling including system dynamics, agent-based modeling, socialnetwork modeling, and game theory. This section also explores thetheory and construction of these modeling paradigms, thefundamentals for their application, and various contexts for theiruse.
* Modeling Global Events--applies the modelingparadigms to four real-world events that are representative ofseveral fundamental areas of social science studies: internalcommotion within an anarchic state, a multi-layered study of theSolidarity movement in Poland, uni-lateral military intervention, and the issue of compellence and deterrence during a nationalsecurity crisis.
Modeling and Simulation for Analyzing Global Events is anexcellent book for statistics, engineering, computer science, economics, and social sciences courses on modeling and simulationat the upper-undergraduate and graduate levels. It is also aninsightful reference for professionals who would like to developmodeling and simulation skills for analyzing and communicatinghuman behavior observed in real-world events and complex globalcase studies.
