Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Social Networks: A Framework of Computational Intelligence
Details
This book explores computational intelligence applied to the analysis, synthesis and evaluation of social networks. Covers community structure detection, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms.
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.
Offers introductory chapters both in terms of social networks, graph theory and specialized introduction to Computational Intelligence Self-contained book easily accessible to a broad audience Systematic exposure of the concepts, design methodology, and detailed algorithms Includes supplementary material: sn.pub/extras
Inhalt
From the Contents: Detecting Community Structures in Networks Using A Linear-Programming Based Approach.- Personalization of Social Networks: Adaptive Semantic Layer Approach.- Social Network and Formal Concept Analysis.- Explaining Variation in State Involvement in Cyber Attacks: A Social Network Approach.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319374871
- Genre Technology Encyclopedias
- Auflage Softcover reprint of the original 1st edition 2014
- Editor Witold Pedrycz, Shyi-Ming Chen
- Lesemotiv Verstehen
- Anzahl Seiten 452
- Herausgeber Springer
- Größe H235mm x B155mm x T25mm
- Jahr 2016
- EAN 9783319374871
- Format Kartonierter Einband
- ISBN 3319374877
- Veröffentlichung 27.08.2016
- Titel Social Networks: A Framework of Computational Intelligence
- Untertitel Studies in Computational Intelligence 526
- Gewicht 680g
- Sprache Englisch