國立虎尾科技大學 |

User community discovery

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	User community discovery/ edited by Georgios Paliouras ... [et al.].
其他作者:	Paliouras, Georgios.
出版者:	Cham :Imprint: Springer, : 2015.,
面頁冊數:	xii, 155 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Computers and Society. -
電子資源:	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 :Imprint: Springer,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:

669900
Computers and Society.

LC Class. No.: HM742

Dewey Class. No.: 302.30285

User community discovery
LDR:02269nam a2200325 a 4500 001 838185
003 DE-He213
005 20160425151027.0
006 m d
007 cr nn 008maaau
008 160616s2015 gw s 0 eng d
020 $a 9783319238357 $q (electronic bk.)
020 $a 9783319238340 $q (paper)
024 7 $a 10.1007/978-3-319-23835-7 $2 doi
035 $a 978-3-319-23835-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HM742
072 7 $a UYZG $2 bicssc
072 7 $a COM070000 $2 bisacsh
082 0 4 $a 302.30285 $2 23
090 $a HM742 $b .U84 2015
245 0 0 $a User community discovery $h [electronic resource] / $c edited by Georgios Paliouras ... [et al.].
260 $a Cham : $c 2015. $b Imprint: Springer, $b Springer International Publishing :
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 2 4 $a Computers and Society. $3 669900
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 1 4 $a Computer Science. $3 593922
650 0 $a Online social networks. $3 565357
650 0 $a Social media. $3 780265
700 1 $a Paliouras, Georgios. $3 787770
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Human-computer interaction series. $3 890219
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-23835-7
950 $a Computer Science (Springer-11645)