Introduction to Computational Social Science
2nd Edition Available!
- Expanded new edition enhanced with exercises and problems (with solutions)
- Introduces the key concepts in computational social science, providing formal definitions and a glossary
- Describes the scope of each sub-field, covering topics on information extraction, social networks, complexity theory and social simulations
- Discusses such methodological tools as extracting entities from text, computing social network indices and building an agent-based model
Introduction to Computational Social Science
The emerging field of computational social science (CSS) is devoted to the pursuit of interdisciplinary social science research from an information processing perspective, through the medium of advanced computing and information technologies. This reader-friendly textbook/reference, published by Springer, is the first work of its kind to provide a comprehensive and unified Introduction to Computational Social Science. Four distinct methodological approaches are examined in particular detail, namely automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. The coverage of each of these approaches is supported by a discussion of the historical context and motivations, as well as by a list of recommended texts for further reading.
This book is essential reading for graduate and advanced undergraduate students considering the field of computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field.
Topics and features:
• Describes the scope and content of each area of CSS, covering topics on information extraction, social networks, complexity theory, and social simulations
• Highlights the main theories of the CSS paradigm as causal explanatory frameworks that shed new light on the nature of human and social dynamics
• Explains how to distinguish and analyze the different levels of analysis of social complexity using computational approaches
• Discusses a number of methodological tools, including extracting entities from text, computing social network indices, and building an agent-based model
• Presents the main classes of entities, objects, and relations common to the computational analysis of social complexity
• Examines the interdisciplinary integration of knowledge in the context of social phenomena