Topic Extension Using the Network Extracted from DBLP

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F13%3A%230002440" target="_blank" >RIV/47813059:19520/13:#0002440 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/13:86086965
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Topic Extension Using the Network Extracted from DBLP
Original language description
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 networkmore 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 topicextension may be used in prediction models for the extraction of expected keywords which will be used in a given community.
Czech name
—
Czech description
—

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
25th European Modeling and Simulation Symposium, EMSS 2013
ISBN
978-88-97999-22-5
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
410-417
Publisher name
Elsevier
Place of publication
Brusel
Event location
Athens, Greece
Event date
Sep 25, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)