000			02992nam a2200241Ia 4500
003			NULRC
005			20250520102820.0
008			250520s9999 xx 000 0 und d
020			_a9781447156604
040			_cNULRC
050			_aH 61.3 .C56 2014
100			_aCioffi-Revilla, Claudio A., _eauthor
245		0	_aIntroduction to computational social science : _bprinciples and applications / _cClaudio Cioffi-Revilla
260			_aLondon, United Kingdom : _bSpringer, _cc2014
300			_axxxiii, 320 pages : _billustrations ; _c24 cm.
365			_bUSD50.86
504			_aIncludes bibliographical references and index.
505			_a1. Introduction -- 2. Computation and Social Science -- 3. Automated Information Extraction -- 4. Social Networks -- 5. Social Complexity I: Origins and Measurement -- 6. Social Complexity II: Laws -- 7. Social Complexity III: Theories -- 8. Simulations I: Methodology -- 9. Simulations II: Variable-Oriented Models -- 10. Simulations III: Object-Oriented Models.
520			_aThe 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: 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.
650			_aSOCIAL SCIENCE
700			_aGries, David;Schneider, Fred B. _eeditor;editor
942			_2lcc _cBK
999			_c16039 _d16039