000 04078nam a22005655i 4500
001 978-1-4471-5661-1
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007 cr nn 008mamaa
008 131231s2014 xxk| s |||| 0|eng d
020 _a9781447156611
_9978-1-4471-5661-1
024 7 _a10.1007/978-1-4471-5661-1
_2doi
050 4 _aQA76.76.A65
072 7 _aJ
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aSOC000000
_2bisacsh
082 0 4 _a004
_223
100 1 _aCioffi-Revilla, Claudio.
_eauthor.
245 1 0 _aIntroduction to Computational Social Science
_h[electronic resource] :
_bPrinciples and Applications /
_cby Claudio Cioffi-Revilla.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2014.
300 _aXXXIII, 320 p. 59 illus., 21 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTexts in Computer Science,
_x1868-0941
505 0 _aIntroduction -- Computation and Social Science -- Automated Information Extraction -- Social Networks -- Social Complexity I: Origins and Measurement -- Social Complexity II: Laws -- Social Complexity III: Theories -- Simulations I: Methodology -- Simulations II: Variable-Oriented Models -- 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 0 _aComputer science.
650 0 _aData mining.
650 0 _aComputer simulation.
650 0 _aApplication software.
650 0 _aGraph theory.
650 0 _aSocial sciences.
650 1 4 _aComputer Science.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
650 2 4 _aMethodology of the Social Sciences.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aGraph Theory.
650 2 4 _aSimulation and Modeling.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447156604
830 0 _aTexts in Computer Science,
_x1868-0941
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-5661-1
912 _aZDB-2-SCS
942 _cEBK
999 _c56405
_d56405