Overview

The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.

Full Product Details

Author:   Şule Gündüz-Öğüdücü ,  A. Şima Etaner-Uyar
Publisher:   Springer Verlag GmbH
Imprint:   Springer Verlag GmbH
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.161kg
ISBN:  

9783709119907

ISBN 10:   3709119901
Pages:   249
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Glossary.- Introduction.- Ranking Authors on the Web: a Semantic Author Rank.- Detecting Neutral Nodes in a Network of Heterogeneous Agent Based System.- Global Structure in Social Networks with Directed Typed Edges.- Social Networks and Group Effectiveness: The Role of External Network Ties.- Overlapping Community Discovery Methods: a Survey.- Classification in Social Networks.- Experiences Using BDS, a crawler for Social Internetworking Scenarios.- Privacy and Ethical Issues in Social Network Analysis.- Social Media: the Evolution of E-health Services.

Reviews

Experts in the field of social networks aim to help readers grasp the state of the art in the topic of network-based representation and analysis in this collection of papers. ... the editors give readers a snapshot of recent work by presenting in each chapter a self-contained paper from different experts in the field. ... recommend the book to anyone that wants to quickly get a grasp on the heterogeneity of subtopics that are studied in the social networks domain. (Sergio Queiroz, Computing Reviews, April, 2015)

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