2013
EMSS 2013 Proceeding
Topic extension using the network extracted from DBLP
Authors: Alisa Babskova, Pavla Dra?dilová, Jan Martinovic, Katerina Slaninová
Abstract
This article focuses on the topic extension in an area that is initially specified by the user through the topic?s keywords. The extended area of interest defined by keywords is determined by a set of terms used by the community for which the selected keywords are significant. The extracted topic by selected communities can be used to update and broaden the area of interest. This new evaluation of edges depends on terms that appear in the titles of articles of two co-authors. The newly evaluated network more accurately describes the intensity of the relationships between co-authors. This network is suitable as an input to models, which are focused on prediction of future relationships and community structures in co-author networks. Moreover, the topic extension may be used in prediction models for the extraction of expected keywords which will be used in a given community.
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