{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T10:39:42Z","timestamp":1760783982488},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,7,26]],"date-time":"2015-07-26T00:00:00Z","timestamp":1437868800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2016,2]]},"DOI":"10.1007\/s13042-015-0405-y","type":"journal-article","created":{"date-parts":[[2015,7,25]],"date-time":"2015-07-25T09:20:37Z","timestamp":1437816037000},"page":"145-155","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Unsupervised link prediction in evolving abnormal medical parameter networks"],"prefix":"10.1007","volume":"7","author":[{"given":"Buket","family":"Kaya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustafa","family":"Poyraz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,7,26]]},"reference":[{"key":"405_CR1","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511815478","volume-title":"Social network analysis: methods and applications","author":"S Wasserman","year":"1994","unstructured":"Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press, Cambridge"},{"key":"405_CR2","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/s13278-012-0090-8","volume":"3","author":"CG Akcora","year":"2013","unstructured":"Akcora CG, Carminati B, Ferrari E (2013) User similarities on social networks. Soc Netw Anal Min 3:475\u2013495","journal-title":"Soc Netw Anal Min"},{"key":"405_CR3","first-page":"1","volume":"58","author":"P Wang","year":"2015","unstructured":"Wang P, Xu BW, Wu YR, Zhou XY (2015) Link prediction in social network: the state-of-the-art. Sci China Inf Sci 58:1\u201338","journal-title":"Sci China Inf Sci"},{"key":"405_CR4","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/978-1-4419-8462-3_9","volume-title":"Social network data analytics","author":"MA Hasan","year":"2011","unstructured":"Hasan MA, Zaki MJ (2011) A survey of link prediction in social network. In: Aggarwal CC (ed) Social network data analytics. Springer, New York, pp 243\u2013275"},{"key":"405_CR5","doi-asserted-by":"crossref","first-page":"025102","DOI":"10.1103\/PhysRevE.64.025102","volume":"64","author":"MEJ Newman","year":"2001","unstructured":"Newman MEJ (2001) Clustering and preferential attachment in growing networks. Phys Rev E 64:025102","journal-title":"Phys Rev E"},{"issue":"5","key":"405_CR6","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1038\/scientificamerican0503-60","volume":"288","author":"AL Barabasi","year":"2003","unstructured":"Barabasi AL, Bonabeau E (2003) Scale free networks. Sci Am 288(5):50\u201359","journal-title":"Sci Am"},{"issue":"3","key":"405_CR7","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/S0378-8733(03)00009-1","volume":"25","author":"LA Adamic","year":"2003","unstructured":"Adamic LA, Adar E (2003) Friends and neighbors on the web. Soc Netw 25(3):211\u2013230","journal-title":"Soc Netw"},{"key":"405_CR8","volume-title":"Introduction to data mining","author":"P-N Tan","year":"2005","unstructured":"Tan P-N, Steinbach M, Kumar V (2005) Introduction to data mining. Addison Wesley, Boston"},{"issue":"1","key":"405_CR9","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/BF02289026","volume":"18","author":"L Katz","year":"1953","unstructured":"Katz L (1953) A new status index derived from sociometric analysis. Psychometrika 18(1):39\u201343","journal-title":"Psychometrika"},{"issue":"7","key":"405_CR10","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1002\/asi.20591","volume":"58","author":"D Liben-Nowell","year":"2007","unstructured":"Liben-Nowell D, Kleinberg J (2007) The link-prediction problem for social networks. J Am Soc Inf Sci Technol 58(7):1019\u20131031","journal-title":"J Am Soc Inf Sci Technol"},{"issue":"6","key":"405_CR11","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","volume":"390","author":"L Lu","year":"2011","unstructured":"Lu L, Zhou T (2011) Link prediction in complex networks: a survey. Phys A 390(6):1150\u20131170","journal-title":"Phys A"},{"key":"405_CR12","unstructured":"Hasan MA, Chaoji V, Salem S, Zaki M (2006) Link prediction using supervised learning, SDM\u201906: Workshop on Link Analysis Counterterrorism and Security"},{"key":"405_CR13","doi-asserted-by":"crossref","unstructured":"Folino F, ve Pizzuti C (2012) Link prediction approaches for disease networks. In: ITBAM, pp 99\u2013108","DOI":"10.1007\/978-3-642-32395-9_8"},{"key":"405_CR14","doi-asserted-by":"crossref","unstructured":"Lichtenwalter RN, Lussier JT, Chawla NV (2010) New perspectives and methods in link prediction. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, pp 243\u2013252","DOI":"10.1145\/1835804.1835837"},{"key":"405_CR15","unstructured":"Sa HR, Prudencio RBC (2011) Supervised link prediction in weighted networks. In: Proceedings of international joint conference on neural networks, pp 2281\u20132288"},{"key":"405_CR16","doi-asserted-by":"crossref","unstructured":"Tylenda T, Angelova R, Bedathur S (2009) Towards time-aware link prediction in evolving social networks. In: SNA-KDD\u201909, pp 1\u20139","DOI":"10.1145\/1731011.1731020"},{"issue":"4","key":"405_CR17","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/MIS.2010.91","volume":"25","author":"B Brigmann","year":"2010","unstructured":"Brigmann B, Berlingerio M, Bonchi F, Gionis A (2010) Learning and predicting the evolution of social networks. IEEE Intell Syst 25(4):26\u201335","journal-title":"IEEE Intell Syst"},{"issue":"2","key":"405_CR18","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1287\/ijoc.1080.0292","volume":"21","author":"Z Huang","year":"2009","unstructured":"Huang Z, Lin DKJ (2009) The time-series link prediction problem with applications in communication surveillance. INFORMS J Comput 21(2):286\u2013303","journal-title":"INFORMS J Comput"},{"key":"405_CR19","doi-asserted-by":"crossref","unstructured":"Oyama S, Hayashi K, Kashima K (2011) Cross-temporal link prediction. In: 2011 IEEE international conference on data mining, pp 1188\u20131193","DOI":"10.1109\/ICDM.2011.45"},{"issue":"16","key":"405_CR20","doi-asserted-by":"crossref","first-page":"6652","DOI":"10.1016\/j.eswa.2013.06.016","volume":"40","author":"PRS Soares","year":"2013","unstructured":"Soares PRS, Prudencio RBC (2013) Proximity measures for link prediction based on temporal events. Expert Syst Appl 40(16):6652\u20136660","journal-title":"Expert Syst Appl"},{"issue":"2","key":"405_CR21","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s13278-012-0068-6","volume":"3","author":"D Davis","year":"2013","unstructured":"Davis D, Lichtenwalter R, Chawla NV (2013) Supervised methods for multi-relational link prediction. Soc Netw Anal Min 3(2):127\u2013141","journal-title":"Soc Netw Anal Min"},{"issue":"2","key":"405_CR22","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1016\/j.dss.2012.09.019","volume":"54","author":"X Li","year":"2013","unstructured":"Li X, Chen H (2013) Recommendation as link prediction in bipartite graphs: a graph kernel-based machine learning approach. Decis Support Syst 54(2):880\u2013890","journal-title":"Decis Support Syst"},{"key":"405_CR23","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.datak.2013.05.008","volume":"87","author":"P Symeonidis","year":"2013","unstructured":"Symeonidis P, Iakovidou N, Mantas N, Manolopoulos Y (2013) From biological to social networks: link prediction based on multi-way spectral clustering. Data Knowl Eng 87:226\u2013242","journal-title":"Data Knowl Eng"},{"key":"405_CR24","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1007\/s10618-009-0156-z","volume":"20","author":"DA Davis","year":"2010","unstructured":"Davis DA, Chawla NV, Christakis NA, Barabasi AL (2010) Time to CARE: a collaborative engine for practical disease prediction. Data Min Knowl Discov 20:388\u2013415","journal-title":"Data Min Knowl Discov"},{"key":"405_CR25","doi-asserted-by":"crossref","unstructured":"Davis DA, Chawla NV, Blumn N, Christakis NA, Barabasi AL (2008) Predicting individual disease risk based on medical history. In: Proceedings of the ACM international conference on information and knowledge management (CIKM\u201908), pp 769\u2013778","DOI":"10.1145\/1458082.1458185"},{"issue":"2","key":"405_CR26","doi-asserted-by":"crossref","first-page":"021102","DOI":"10.1103\/PhysRevE.75.021102","volume":"75","author":"Q Ou","year":"2007","unstructured":"Ou Q, Jin Y-D, Zhou T, Wang B-H, Yin B-Q (2007) Power-law strength-degree correlation from resource-allocation dynamics on weighted network. Phys Rev E 75(2):021102; pt 1","journal-title":"Phys Rev E"},{"key":"405_CR27","volume-title":"The human group","author":"GC Homans","year":"1951","unstructured":"Homans GC (1951) The human group. Routledge and Kegan, London"},{"key":"405_CR28","doi-asserted-by":"crossref","unstructured":"Newman MEJ The structure of scientific collaboration networks. In: Proceedings of the national academy of sciences of the United States of America, vol 98, pp 404\u2013409","DOI":"10.1073\/pnas.98.2.404"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0405-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0405-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0405-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T14:31:20Z","timestamp":1559485880000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0405-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,26]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,2]]}},"alternative-id":["405"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0405-y","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,26]]}}}