Hrvatska znanstvena bibliografija (CROSBI)



Pregled bibliografske jedinice broj: 888752

Časopis

Autori: Matas, Neven; Martinčić-Ipšić, Sanda; Meštrović, Ana
Naslov: Comparing Network Centrality Measures as Tools for Identifying Key Concepts in Complex Networks: A Case of Wikipedia
Izvornik: Journal of Digital Information Management (0972-7542) 15 (2017), 4; 203-2013
Vrsta rada: članak
Ključne riječi: Complex Networks, Concept Analysis, Keyword Extraction, Network Centralities, Wikipedia
Sažetak:
Network centralities are amongst the most important measures for tracking and locating crucial nodes in a network. In this paper, we propose a general approach for identifying the most suitable centrality measure for detecting key concepts in a semantic or linguistic network. We experiment with seven network centrality measures (degree centrality, betweenness centrality, closeness centrality, eigenvector centrality, current-flow betweenness centrality, current-flow closeness centrality and communicability centrality). For the purpose of evaluation, we compare the original Wikipedia hyperlink network with a constructed concept network. The obtained results indicate that all seven used measures have good potential for identifying key terms, and that degree centrality achieves the best score. A good score is also obtained for current-flow betweenness centrality and current-flow closeness centrality.
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
URL Internet adrese: http://dline.info/fpaper/jdim/v15i4/jdimv15i4_3.pdf
http://dline.info/fpaper/jdim/v15i4/jdimv15i4_3.pdf
URL cjelovitog teksta: http://dline.info/fpaper/jdim/v15i4/jdimv15i4_3.pdf
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Comparing Network Centrality Measures as Tools for Identifying Key Concepts in Complex Networks: A Case of Wikipedia
Upisao u CROSBI: Sanda Martinčić - Ipšić (smarti@inf.uniri.hr), 21. Kol. 2017. u 10:45 sati