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  1. International Conference on u- and e- Service, Science and Technology (UNESST).
  2. 2014 7th International Conference on u- and e- Service, Science and Technology
  3. Overlapping Community Structure in Co-authorship Networks: A Case Study
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2014 7th International Conference on u- and e- Service, Science and Technology
Cover Art
Title Page i
Title Page iii
Copyright Page
Table of contents
Foreword
Preface
Committees
Search Method Using the Pixel Value Histogram of ROI for Illegal Copy Image with Geometric Attacks
Improving the Success Rate of Concurrent Mobile Transactions by Predicting Time for Execution
Methodology and Evaluation of Terrain Fusion Based on Different Resolution 2D Images
Outsourcing E-Learning Project in Museums: Case Studies of Public Museums in Taiwan
A Study on Rough-Fuzzy Predicate Calculus
Overlapping Community Structure in Co-authorship Networks: A Case Study
Spectral Radius as a Measure of Variation in Node Degree for Complex Network Graphs
Author Index
Publisher's Information

Overlapping Community Structure in Co-authorship Networks: A Case Study

Content Provider IEEE Xplore Digital Library
Author Jebabli, Malek Cherifi, Hocine Cherifi, Chantal Hammouda, Atef
Copyright Year 2014
Abstract Community structure is one of the key properties of real-world complex networks. It plays a crucial role in their behaviors and topology. While an important work has been done on the issue of community detection, very little attention has been devoted to the analysis of the community structure. In this paper, we present an extensive investigation of the overlapping community network deduced from a large-scale co-authorship network. The nodes of the overlapping community network rep-resent the functional communities of the co-authorship network, and the links account for the fact that communities share some nodes in the co-authorship network. The comparative evaluation of the topological properties of these two networks shows that they share similar topological properties. These results are very interesting. Indeed, the network of communities seems to be a good representative of the original co-authorship network. With its smaller size, it may be more practical in order to realize various analyses that cannot be performed easily in large-scale real-world networks.
Starting Page 26
Ending Page 29
File Size 350975
Page Count 4
File Format PDF
ISBN 9781479977666
e-ISBN 9781479977673
DOI 10.1109/UNESST.2014.11
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2014-12-20
Publisher Place China
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Correlation Social network services Communities Complex networks Peer-to-peer computing Electronic mail Detection algorithms
Content Type Text
Resource Type Article
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