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User community discovery

Paliouras, Georgios.

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User community discovery

Record Type:	Electronic resources : Monograph/item
Title/Author:	User community discovery/ edited by Georgios Paliouras ... [et al.].
other author:	Paliouras, Georgios.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xii, 155 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- List of Reviewers -- List of Contributors -- Discovery of Complex User Communities -- Community Discovery: Simple and Scalable Approaches -- Community Discovery in Multi-Mode Networks -- Discovering Communities in Multi-relational Networks -- Group Types in Social Media -- Privacy Issues in Discovering Communities in Social Networks.
Contained By:	Springer eBooks
Subject:	Social media. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-23835-7
ISBN:	9783319238357

User community discovery
User community discovery[electronic resource] /edited by Georgios Paliouras ... [et al.]. - Cham :Springer International Publishing :2015. - xii, 155 p. :ill., digital ;24 cm. - Human-computer interaction series,1571-5035. - Human-computer interaction series..

Preface -- List of Reviewers -- List of Contributors -- Discovery of Complex User Communities -- Community Discovery: Simple and Scalable Approaches -- Community Discovery in Multi-Mode Networks -- Discovering Communities in Multi-relational Networks -- Group Types in Social Media -- Privacy Issues in Discovering Communities in Social Networks.

This book redefines community discovery in the new world of Online Social Networks and Web 2.0 applications, through real-world problems and applications in the context of the Web, pointing out the current and future challenges of the field. Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characterization of social media communities and online privacy aspects of online communities. User Community Discovery is for computer scientists, data scientists, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics.

ISBN: 9783319238357

Standard No.: 10.1007/978-3-319-23835-7doiSubjects--Topical Terms:

786190
Social media.

LC Class. No.: HM742

Dewey Class. No.: 302.30285

User community discovery
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245 0 0 $a User community discovery $h [electronic resource] / $c edited by Georgios Paliouras ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 155 p. : $b ill., digital ; $c 24 cm.
490 1 $a Human-computer interaction series, $x 1571-5035
505 0 $a Preface -- List of Reviewers -- List of Contributors -- Discovery of Complex User Communities -- Community Discovery: Simple and Scalable Approaches -- Community Discovery in Multi-Mode Networks -- Discovering Communities in Multi-relational Networks -- Group Types in Social Media -- Privacy Issues in Discovering Communities in Social Networks.
520 $a This book redefines community discovery in the new world of Online Social Networks and Web 2.0 applications, through real-world problems and applications in the context of the Web, pointing out the current and future challenges of the field. Particular emphasis is placed on the issues of community representation, efficiency and scalability, detection of communities in hypergraphs, such as multi-mode and multi-relational networks, characterization of social media communities and online privacy aspects of online communities. User Community Discovery is for computer scientists, data scientists, social scientists and complex systems researchers, as well as students within these disciplines, while the connections to real-world problem settings and applications makes the book appealing for engineers and practitioners in the industry, in particular those interested in the highly attractive fields of data science and big data analytics.
650 0 $a Social media. $3 786190
650 0 $a Online social networks. $3 624374
650 1 4 $a Computer Science. $3 626642
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Computers and Society. $3 891253
700 1 $a Paliouras, Georgios. $3 1072326
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Human-computer interaction series. $3 1568009
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23835-7
950 $a Computer Science (Springer-11645)