Comparing Network Centrality Measures as Tools for Identifying Key Concepts in Complex Networks: A Case of Wikipedia (CROSBI ID 241504)
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Podaci o odgovornosti
Matas, Neven ; Martinčić-Ipšić, Sanda ; Meštrović, Ana
engleski
Comparing Network Centrality Measures as Tools for Identifying Key Concepts in Complex Networks: A Case of Wikipedia
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.
Complex Networks, Concept Analysis, Keyword Extraction, Network Centralities, Wikipedia
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Podaci o izdanju
15 (4)
2017.
203-2013
objavljeno
0972-7272
10.6025/jdim/2017/15/4/203-213
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo