{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:27:49Z","timestamp":1777854469271,"version":"3.51.4"},"reference-count":36,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2018,3,5]],"date-time":"2018-03-05T00:00:00Z","timestamp":1520208000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:p>Author name ambiguity degrades information retrieval, database integration, search results and, more importantly, correct attributions in bibliographic databases. Some unresolved issues include how to ascertain the actual number of authors, how to improve the performance and how to make the method more effective in terms of representative clustering metrics (average cluster purity, average author purity, K-metric, pairwise precision, pairwise recall, pairwise-F1, cluster precision, cluster recall and cluster-F1). It is a non-trivial task to disambiguate authors using only the implicit bibliographic information. An effective method \u2018DISC\u2019 is proposed that uses graph community detection algorithm, feature vectors and graph operations to disambiguate homonyms. The citation data set is pre-processed and ambiguous author blocks are formed. A co-authors graph is constructed using authors and their co-author\u2019s relationships. A graph structural clustering \u2018gSkeletonClu\u2019 is applied to identify hubs, outliers and clusters of nodes in a co-author\u2019s graph. Homonyms are resolved by splitting these clusters of nodes across the hub if their feature vector similarity is less than a predefined threshold. DISC utilises only co-authors and titles that are available in almost all bibliographic databases. With little modifications, DISC can also be used for entity disambiguation. To validate the DISC performance, experiments are performed on two Arnetminer data sets and compared with five previous unsupervised methods. Despite using limited bibliographic metadata, DISC achieves on average K-metric, pairwise-F1, and cluster-F1 of 92%, 84% and 74%, respectively, using Arnetminer-S and 86%, 80% and 57%, respectively, using Arnetminer-L. About 77.5% and 73.2% clusters are within the range (ground truth clusters\u2009\u00b1\u20093) in Arnetminer-S and Arnetminer-L, respectively.<\/jats:p>","DOI":"10.1177\/0165551518761011","type":"journal-article","created":{"date-parts":[[2018,3,5]],"date-time":"2018-03-05T04:07:02Z","timestamp":1520222822000},"page":"830-847","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["DISC: Disambiguating homonyms using graph structural clustering"],"prefix":"10.1177","volume":"44","author":[{"given":"Ijaz","family":"Hussain","sequence":"first","affiliation":[{"name":"Department of Computer Science, COMSATS Institute of Information Technology, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sohail","family":"Asghar","sequence":"additional","affiliation":[{"name":"Department of Computer Science, COMSATS Institute of Information Technology, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2018,3,5]]},"reference":[{"key":"bibr1-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1145\/2350036.2350040"},{"key":"bibr2-0165551518761011","first-page":"1065","volume-title":"Proceedings of the 2005 ACM symposium on applied computing","author":"Han H"},{"key":"bibr3-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.13"},{"key":"bibr4-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-014-1289-4"},{"key":"bibr5-0165551518761011","first-page":"1008","volume-title":"Proceedings of the 6th international conference on data mining (ICDM\u201906)","author":"On BW"},{"key":"bibr6-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20105"},{"key":"bibr7-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217304"},{"issue":"2","key":"bibr8-0165551518761011","first-page":"10","volume":"2","author":"Fan X","year":"2011","journal-title":"J Data Inf Qual"},{"key":"bibr9-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-013-0226-4"},{"key":"bibr10-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.22992"},{"key":"bibr11-0165551518761011","first-page":"794","volume-title":"Proceedings of the 2011 IEEE 11th international conference on data mining","author":"Wang X"},{"key":"bibr12-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23726"},{"key":"bibr13-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2598465"},{"key":"bibr14-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23183"},{"key":"bibr15-0165551518761011","first-page":"272","volume-title":"Proceedings of the 7th international conference on knowledge engineering and semantic web (KESW 2016)","volume":"649","author":"Maguire EJ"},{"key":"bibr16-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23063"},{"key":"bibr17-0165551518761011","first-page":"123","volume-title":"Proceedings of the Asian conference on intelligent information and database systems","author":"Tran HN"},{"key":"bibr18-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.22621"},{"key":"bibr19-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2008.06.006"},{"key":"bibr20-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-014-1283-x"},{"key":"bibr21-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1002\/asi.21491"},{"key":"bibr22-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-013-1151-0"},{"key":"bibr23-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-014-0011-3"},{"issue":"3","key":"bibr24-0165551518761011","first-page":"289","volume":"2","author":"De Carvalho AP","year":"2011","journal-title":"J Inform Data Manag"},{"key":"bibr25-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.02.121"},{"key":"bibr26-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-010-0196-6"},{"issue":"3","key":"bibr27-0165551518761011","first-page":"332","volume":"3","author":"Ferreira AA","year":"2012","journal-title":"J Inform Data Manag"},{"key":"bibr28-0165551518761011","first-page":"49","volume-title":"Proceedings of the 9th ACM\/IEEE-CS joint conference on digital libraries","author":"Pereira DA"},{"key":"bibr29-0165551518761011","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.100"},{"key":"bibr30-0165551518761011","unstructured":"Elliott S. 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