Complex Social Networks

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Complex Social Networks

Author	: Fernando Vega-Redondo
Publisher	: Cambridge University Press
Total Pages	: 316
Release	: 2007-01-08
ISBN-10	: 0521674093
ISBN-13	: 9780521674096
Rating	: 4/5 (096 Downloads)

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Book Synopsis Complex Social Networks by : Fernando Vega-Redondo

Download or read book Complex Social Networks written by Fernando Vega-Redondo and published by Cambridge University Press. This book was released on 2007-01-08 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description

Complex Social Networks Related Books

Language: en
Pages: 316

Complex Social Networks

Authors: Fernando Vega-Redondo

Categories: Business & Economics

Type: BOOK - Published: 2007-01-08 - Publisher: Cambridge University Press

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Publisher description

Language: en
Pages: 310

Complex Social Networks

Authors: Fernando Vega-Redondo

Categories: Business & Economics

Type: BOOK - Published: 2007-01-08 - Publisher: Cambridge University Press

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This 2007 book provides a systematic and self-contained account of the fast-developing theory of complex social networks. Social networks are central to the und

Language: en
Pages: 253

Big Data in Complex and Social Networks

Authors: My T. Thai

Categories: Business & Economics

Type: BOOK - Published: 2016-12-01 - Publisher: CRC Press

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This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of

Language: en
Pages: 356

Complex Spreading Phenomena in Social Systems

Authors: Sune Lehmann

Categories: Science

Type: BOOK - Published: 2018-06-21 - Publisher: Springer

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This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there

Language: en
Pages: 361

Dynamical Processes on Complex Networks

Authors: Alain Barrat

Categories: Science

Type: BOOK - Published: 2012-10-11 - Publisher: Cambridge University Press

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The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks