Get 40% off select Statistics books or choose from thousands of Archive eBooks at 9.99 each!

SpringerBriefs in Computer Science

Mining Lurkers in Online Social Networks

Principles, Models, and Computational Methods

Authors: Tagarelli, Andrea, Interdonato, Roberto

Free Preview
  • First book to discuss the lurking behavior phenomenon in online social networks under both social science and computational perspectives
  • It provides detailed descriptions of computational approaches that enable understanding and mining of lurking behaviors, including centrality and ranking, influence propagation and maximization for user engagement, cross-platform analysis methods, and evolutionary games
  • It paves the way for next-generation models and techniques that can cope with a large, previously unexplored set of related problems and applications in social science, network science, and other information science related fields
see more benefits

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-00229-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-00228-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This SpringerBrief  brings order  to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs)  lurking phenomena. This brief also drives the development of computational approaches that can be effectively applied to answer questions related to lurking behaviors, as well as to the engagement of lurkers in OSNs.

 All large-scale online social networks (OSNs) are characterized by a participation inequality principle, i.e., the crowd of an OSN does not actively contribute, rather it takes on a silent role. Silent users are also referred to as lurkers, since they gain benefit from others' information without significantly giving back to the community. Nevertheless, lurkers acquire knowledge from the OSN, therefore a major goal is to encourage them to more actively participate.

 Lurking behavior analysis has been long studied in social science and human-computer interaction fields, but it has also matured over the last few years in social network analysis and mining.

 While the main target audience corresponds to computer, network, and web data scientists, this brief might also help increase the visibility of the topic by bridging different closely related research fields.  Practitioners, researchers and students interested in social networks, web search, data mining, computational social science and  human-computer interaction will also find this brief useful research material . 


Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-00229-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-00228-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Mining Lurkers in Online Social Networks
Book Subtitle
Principles, Models, and Computational Methods
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-00229-9
DOI
10.1007/978-3-030-00229-9
Softcover ISBN
978-3-030-00228-2
Series ISSN
2191-5768
Edition Number
1
Number of Pages
VI, 93
Number of Illustrations
1 b/w illustrations, 9 illustrations in colour
Topics