The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Community Discovery: From Web Pages to Social Networks
|
Author(s): Damien Leprovost (University of Bourgogne, France), Lylia Abrouk (University of Bourgogne, France)and David Gross-Amblard (University of Bourgogne, France)
Copyright: 2012
Pages: 9
Source title:
Social Network Mining, Analysis, and Research Trends: Techniques and Applications
Source Author(s)/Editor(s): I-Hsien Ting (National University of Kaohsiung, Taiwan), Tzung-Pei Hong (National University of Kaohsiung, Taiwan)and Leon Shyue-Liang Wang (National University of Kaohsiung, Taiwan)
DOI: 10.4018/978-1-61350-513-7.ch004
PurchaseView on the publisher's website for pricing and purchasing information.
|
Abstract
This chapter presents a state of the art of research on the discovery of Web communities, in a general sense. For this purpose, the authors discuss various notions of communities and their related assumptions: hypertextual communities, tag communities and semantic-based communities.
Related Content
.
© 2023.
34 pages.
|
.
© 2023.
15 pages.
|
.
© 2023.
15 pages.
|
.
© 2023.
18 pages.
|
.
© 2023.
24 pages.
|
.
© 2023.
32 pages.
|
.
© 2023.
21 pages.
|
|
|