{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:28:22Z","timestamp":1781108902355,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7,1]]},"abstract":"<p>In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate ranking and extraction. The authors show that selectivity-based keyword extraction slightly outperforms an extraction based on the standard centrality measures: in\/out-degree, betweenness and closeness. Therefore, they include selectivity and its modification \u2013 generalized selectivity as node centrality measures in the SBKE method. Selectivity-based extraction does not require linguistic knowledge as it is derived purely from statistical and structural information of the network. The experimental results point out that selectivity-based keyword extraction has a great potential for the collection-oriented keyword extraction task.<\/p>","DOI":"10.4018\/ijswis.2016070101","type":"journal-article","created":{"date-parts":[[2016,7,19]],"date-time":"2016-07-19T07:51:19Z","timestamp":1468914679000},"page":"1-26","source":"Crossref","is-referenced-by-count":45,"title":["Selectivity-Based Keyword Extraction Method"],"prefix":"10.4018","volume":"12","author":[{"given":"Slobodan","family":"Beliga","sequence":"first","affiliation":[{"name":"Department of Informatics, University of Rijeka, Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana","family":"Me\u0161trovi\u0107","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of Rijeka, Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanda","family":"Martin\u010di\u0107-Ip\u0161i\u0107","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of Rijeka, Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal on Semantic Web and Information Systems"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=160171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T23:07:01Z","timestamp":1654124821000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSWIS.2016070101"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2016,7,1]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016,7]]}},"URL":"https:\/\/doi.org\/10.4018\/ijswis.2016070101","relation":{},"ISSN":["1552-6283","1552-6291"],"issn-type":[{"value":"1552-6283","type":"print"},{"value":"1552-6291","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,7,1]]}}}