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 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.
Topics and features:
This unique, clearly-written textbook is essential reading for graduate and advanced undergraduate students planning on embarking on a course on computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field.
This reader-friendly textbook/reference 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.
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
This unique, clearly-written textbook is essential reading for graduate and advanced undergraduate students planning on embarking on a course on computational social science, or wishing to refresh their knowledge of the fundamental aspects of this exciting field.
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"This book is organized in a rigorous manner: each chapter includes an introductory abstract, a short chronology of the main achievements related to the chapter's topic, well-balanced formalized-intuitive knowledge content, a significant number of questions ... and finally a list of future readings. ... I think Claudio Cioffi-Revilla's work hits its assumed target: to be an affordable textbook for students and, at the same time, a useful support manual for instructors interested in learning or teaching computational social science." (Valentin V. Inceu, Computing Reviews, February, 2019)
"This well-organized book provides a timely and comprehensive systematic introduction to CSS. The chapters are relatively independent. Therefore, readers may quickly grasp related information by reading chapters selectively. ... this book is intended as a CSS textbook for graduate students ... ." (Chenyi Hu, Computing Reviews, August 11, 2014)
"This well-organized book provides a timely and comprehensive systematic introduction to CSS. The chapters are relatively independent. Therefore, readers may quickly grasp related information by reading chapters selectively. ... this book is intended as a CSS textbook for graduate students ... ." (Chenyi Hu, Computing Reviews, August 11, 2014)