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User community discovery[electronic ...

Paliouras, Georgios.

User community discovery[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	302.30285
書名/作者:	User community discovery/ edited by Georgios Paliouras ... [et al.].
其他作者:	Paliouras, Georgios.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xii, 155 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Social media.
標題:	Online social networks.
標題:	Computer Science.
標題:	User Interfaces and Human Computer Interaction.
標題:	Computers and Society.
ISBN:	9783319238357
ISBN:	9783319238340
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-23835-7

User community discovery[electronic resource] /
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:

350802
Social media.

LC Class. No.: HM742

Dewey Class. No.: 302.30285

User community discovery[electronic resource] /
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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.
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