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Author Cervantes, E.P. ♦ Mena-Chalco, J.P.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Weight measurement ♦ Computer science ♦ Image edge detection ♦ community structure detection ♦ Communities ♦ Collaboration ♦ Production ♦ Co-authorship network ♦ Books ♦ multi-weighted graph
Abstract Co-authorship graphs related to publications (bibliographical production) are generally represented by undirected graphs, where each edge maintains a single value for publications produced by the authors. A variation of this type of graph is related to use of different weights associated with different types of publications. In this context, within the ?eld of scien to metrics, 'journal papers' or 'books' may have a higher priority than the 'conference papers', and the 'conference papers' might have higher priority than the 'extended abstract'. In this paper, we present a simple weight combination to detect communities in co-authorship networks, which allows simultaneous consideration of multiple types of collaborations. Our preliminary results show a good performance in the detection of communities considering real bibliographical production graphs.
ISBN 9781457700736
ISSN 15224902
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-11-15
Publisher Place Chile
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 206.96 kB
Page Count 8
Starting Page 131
Ending Page 138


Source: IEEE Xplore Digital Library