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  • Book
  • © 2015

User Community Discovery

  • Redefines community discovery in the new world of Online Social Networks and Web 2.0 applications
  • Provides methods to handle the complexity of multi-relational and multi-mode graphs, such as the social networks
  • Presents the use of state-of-the-art methods for community discovery in the Social Web, e.g. matrix factorization, hypergraph analysis, and consensus clustering.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Human–Computer Interaction Series (HCIS)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xii
  2. Discovery of Complex User Communities

    • Georgios Paliouras, Symeon Papadopoulos, Dimitrios Vogiatzis
    Pages 1-22
  3. Community Discovery: Simple and Scalable Approaches

    • Yiye Ruan, David Fuhry, Jiongqian Liang, Yu Wang, Srinivasan Parthasarathy
    Pages 23-54
  4. Community Discovery in Multi-Mode Networks

    • Isaac Jones, Lei Tang, Huan Liu
    Pages 55-74
  5. Discovering Communities in Multi-relational Networks

    • Zhiang Wu, Zhan Bu, Jie Cao, Yi Zhuang
    Pages 75-95
  6. Group Types in Social Media

    • Luca Maria Aiello
    Pages 97-134

About this book

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.

Editors and Affiliations

  • Inst.of Informatics and Tele- communications Nat. Center for, Ag.Paraskevi, Greece

    Georgios Paliouras

  • Information Technologies Institute, CERTH, Thermi, Greece

    Symeon Papadopoulos

  • Institute of Informatics, NCSR Demokritos, Aghia Paraskevi, Greece

    Dimitrios Vogiatzis

  • Informatics and Telematics Institut Centre for Research & Technology He, Thermi-Thessaloniki, Greece

    Yiannis Kompatsiaris

Bibliographic Information

  • Book Title: User Community Discovery

  • Editors: Georgios Paliouras, Symeon Papadopoulos, Dimitrios Vogiatzis, Yiannis Kompatsiaris

  • Series Title: Human–Computer Interaction Series

  • DOI: https://doi.org/10.1007/978-3-319-23835-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-23834-0Published: 05 November 2015

  • Softcover ISBN: 978-3-319-35456-9Published: 23 August 2016

  • eBook ISBN: 978-3-319-23835-7Published: 28 October 2015

  • Series ISSN: 1571-5035

  • Series E-ISSN: 2524-4477

  • Edition Number: 1

  • Number of Pages: XII, 155

  • Topics: User Interfaces and Human Computer Interaction, Computers and Society

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access