000			03462nam a22003015i 4500
003			OSt
005			20191001123047.0
008			180914b2017 -us||||| |||| 00| 0 eng d
020			_a9783319501307 (hbk)
035			_a(WaSeSS)ssj0001846472
040			_cNCL _dLIN2019
082	0	4	_a004 _223 _bCIO-I 2017 10290
100	1		_aCioffi-Revilla, Claudio A.,
245	1	0	_aIntroduction to Computational Social Science _h[electronic resource] : _bPrinciples and Applications / _cby Claudio Cioffi-Revilla.
250			_a2nd ed.
260			_aCham : _bSpringer International Publishing : _c2017.
300			_a(XXXVI, 607 p: _bill; _c24 cm.
505	0		_aChapter 1: Introduction-------- Chapter 2: Computation and Social Science-------- Chapter 3: Automated Information Extraction------- Chapter 4: Social Networks--------- Chapter 5: Social Complexity I: Origins and Measurement--------- Chapter 6: Social Complexity II: Laws------- Chapter 7: Social Complexity III: Theories------- Chapter 8: Simulations I: Methodology------- Chapter 9: Simulations II: Variable-Oriented Models------- Chapter 10: Simulations III: Object-Oriented Models----------
520			_aThis indispensable textbook/reference provides a comprehensive and reader-friendly introduction to the emerging field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated and expanded new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas and further explore the concepts. Topics and features: Contains more than a thousand problem questions and exercises, together with a list of acronyms and a glossary of terms Presents an introduction to the main areas, core concepts, and historical development of CSS, providing examples of a range of CSS investigations Examines the key similarities and differences between computers and social systems, from an information-processing perspective Presents a focus on automated information extraction, beginning with its roots in linguistics Introduces the fundamental elements of social network analysis, and computational approaches to analyzing social complexity Discusses the measurement, scientific laws, and generative theories of social complexity in CSS Reviews the methodology of social simulations, covering in detail both variable-oriented and object-oriented models 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. Dr. Claudio Cioffi-Revilla is University Professor and Professor of Computational Social Science, founding and former Chair of the Department of Computational Social Science, and founding and current Director of the Center for Social Complexity at George Mason University, VA, USA.
650		0	_aComputer science.
650		0	_aData mining.
650		0	_aComputer simulation.
650		0	_aApplication software.
650		0	_aGraph theory.
650		0	_aSocial sciences.
710	2		_aSpringerLink (Online service)
942			_2ddc _cBK
999			_c7682 _d7682