Social Networks: A Framework of Computational Intelligence

Author:   Witold Pedrycz ,  Shyi-Ming Chen
Publisher:   Springer International Publishing AG
Volume:   526
ISBN:  

9783319029924


Pages:   440
Publication Date:   19 December 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Social Networks: A Framework of Computational Intelligence


Overview

This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.

Full Product Details

Author:   Witold Pedrycz ,  Shyi-Ming Chen
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   526
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   7.981kg
ISBN:  

9783319029924


ISBN 10:   3319029924
Pages:   440
Publication Date:   19 December 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

From the book reviews: This interesting book is about social networks ... and the many tools from the world of computational intelligence that provide a framework for analyzing and drawing conclusions from them. ... I recommend this fascinating volume to practitioners, researchers, and students with an interest in any aspect of applying computational intelligence techniques and tools to extract insights from social networks. (M. G. Murphy, Computing Reviews, July, 2014)


From the book reviews: This interesting book is about social networks ... and the many tools from the world of computational intelligence that provide a framework for analyzing and drawing conclusions from them. ... I recommend this fascinating volume to practitioners, researchers, and students with an interest in any aspect of applying computational intelligence techniques and tools to extract insights from social networks. (M. G. Murphy, Computing Reviews, July, 2014)


From the book reviews: This interesting book is about social networks ... and the many tools from the world of computational intelligence that provide a framework for analyzing and drawing conclusions from them. ... I recommend this fascinating volume to practitioners, researchers, and students with an interest in any aspect of applying computational intelligence techniques and tools to extract insights from social networks. (M. G. Murphy, Computing Reviews, July, 2014)


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