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Volumn 42, Issue 1, 2015, Pages 21-50

OWA operator based link prediction ensemble for social network

Author keywords

Algorithm stability; Ensemble learning; Link prediction; Local information; OWA operator; Social network analysis

Indexed keywords

BENCHMARKING; FORECASTING; SOCIAL NETWORKING (ONLINE);

EID: 84906539703     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.07.018     Document Type: Article
Times cited : (125)

References (50)
  • 1
    • 10944272139 scopus 로고    scopus 로고
    • Friends and neighbors on the Web
    • DOI 10.1016/S0378-8733(03)00009-1, PII S0378873303000091
    • L.A. Adamic, and E. Adar Friends and neighbors on the web Social Networking 25 3 2003 211 230 (Pubitemid 36831776)
    • (2003) Social Networks , vol.25 , Issue.3 , pp. 211-230
    • Adamic, L.A.1    Adar, E.2
  • 5
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • PII S0031320396001422
    • A.P. Bradley The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recognition 30 7 1997 1145 1159 (Pubitemid 127406521)
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1
  • 6
    • 0038589165 scopus 로고    scopus 로고
    • The anatomy of a large-scale hypertextual web search engine
    • S. Brin, and L. Page The anatomy of a large-scale hypertextual web search engine Computer Networks and ISDN Systems 30 7 1998 107 117
    • (1998) Computer Networks and ISDN Systems , vol.30 , Issue.7 , pp. 107-117
    • Brin, S.1    Page, L.2
  • 8
    • 84902030030 scopus 로고    scopus 로고
    • The matrix-forest theorem and measuring relations in small social groups
    • P. Chebotarev, and E.V. Shamis The matrix-forest theorem and measuring relations in small social groups Automation and Remote Control 58 9 1997 1505 1514 (Pubitemid 127374609)
    • (1997) Automation and Remote Control , vol.58 , Issue.PART 2 , pp. 1505-1514
    • Chebotarev, P.Yu.1    Shamis, E.V.2
  • 10
    • 43049151837 scopus 로고    scopus 로고
    • Hierarchical structure and the prediction of missing links in networks
    • DOI 10.1038/nature06830, PII NATURE06830
    • A. Clauset, C. Moore, and M.E.J. Newman Hierarchical structure and the prediction of missing links in networks Nature 453 2008 98 101 (Pubitemid 351630323)
    • (2008) Nature , vol.453 , Issue.7191 , pp. 98-101
    • Clauset, A.1    Moore, C.2    Newman, M.E.J.3
  • 12
    • 0029344443 scopus 로고
    • Analytic properties of maximum entropy OWA operators
    • D. Filev, and R.R. Yager Analytic properties of maximum entropy OWA operators Information Sciences 85 1-3 1995 11 27
    • (1995) Information Sciences , vol.85 , Issue.13 , pp. 11-27
    • Filev, D.1    Yager, R.R.2
  • 13
    • 0000565333 scopus 로고    scopus 로고
    • On the issue of obtaining OWA operator weights
    • PII S0165011496002540
    • D. Filev, and R.R. Yager On the issue of obtaining OWA operator weights Fuzzy Sets and Systems 94 2 1998 157 169 (Pubitemid 128654784)
    • (1998) Fuzzy Sets and Systems , vol.94 , Issue.2 , pp. 157-169
    • Filev, D.1    Yager, R.R.2
  • 14
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
    • DOI 10.1109/TKDE.2007.46
    • F. Fouss, A. Pirotte, J.M. Renders, and M. Saerens Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation IEEE Transactions on Knowledge and Data Engineering 19 3 2007 355 369 (Pubitemid 46374533)
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.3 , pp. 355-369
    • Fouss, F.1    Pirotte, A.2    Renders, J.-M.3    Saerens, M.4
  • 15
    • 0038220041 scopus 로고    scopus 로고
    • On obtaining minimal variability OWA operator weights
    • R. Fullér, and P. Majlender On obtaining minimal variability OWA operator weights Fuzzy Sets and Systems 136 2 2003 203 215
    • (2003) Fuzzy Sets and Systems , vol.136 , Issue.2 , pp. 203-215
    • Fullér, R.1    Majlender, P.2
  • 16
    • 84942908828 scopus 로고    scopus 로고
    • Learning probabilistic relational models
    • L. Getoor Learning probabilistic relational models Lecture Notes in Computer Science 1864 2000 322 323
    • (2000) Lecture Notes in Computer Science , vol.1864 , pp. 322-323
    • Getoor, L.1
  • 19
    • 0001368373 scopus 로고
    • Étude comparative de la distribution florale dans une portion des Alpes et des Jura
    • P. Jaccard Étude comparative de la distribution florale dans une portion des Alpes et des Jura Bulletin de la Société vaudoise des sciences naturelles 37 1901 547 579
    • (1901) Bulletin de la Société Vaudoise des Sciences Naturelles , vol.37 , pp. 547-579
    • Jaccard, P.1
  • 21
    • 0142025124 scopus 로고    scopus 로고
    • Constructing support vector machine ensemble
    • DOI 10.1016/S0031-3203(03)00175-4
    • H.C. Kim, S.N. Pang, H.M. Je, H.M. Kim, and S.Y. Bang Constructing support vector machine ensemble Pattern Recognition 36 12 2003 2757 2767 (Pubitemid 37293392)
    • (2003) Pattern Recognition , vol.36 , Issue.12 , pp. 2757-2767
    • Kim, H.-C.1    Pang, S.2    Je, H.-M.3    Kim, D.4    Bang, S.Y.5
  • 24
    • 35348957264 scopus 로고    scopus 로고
    • Efficient behavior of small-world networks
    • V. Latora, and M. Marchiori Efficient behavior of small-world networks Physical Review Letters 87 19 2001 198701
    • (2001) Physical Review Letters , vol.87 , Issue.19 , pp. 198701
    • Latora, V.1    Marchiori, M.2
  • 26
    • 84893267530 scopus 로고    scopus 로고
    • Scaling big data mining infrastructure: The twitter experience
    • J. Lin, and D. Ryaboy Scaling big data mining infrastructure: The twitter experience ACM SIGKDD Explorations Newsletter 14 2 2012 6 19
    • (2012) ACM SIGKDD Explorations Newsletter , vol.14 , Issue.2 , pp. 6-19
    • Lin, J.1    Ryaboy, D.2
  • 27
    • 79051470531 scopus 로고    scopus 로고
    • Link prediction based on local random walk
    • W.P. Liu, and L.Y. Lü Link prediction based on local random walk Europhysics Letters 89 5 2010 58007
    • (2010) Europhysics Letters , vol.89 , Issue.5 , pp. 58007
    • Liu, W.P.1    Lü, L.Y.2
  • 29
    • 70449094129 scopus 로고    scopus 로고
    • Similarity index based on local paths for link prediction of complex networks
    • L.Y. Lü, C.H. Jin, and T. Zhou Similarity index based on local paths for link prediction of complex networks Physical Review E 80 4 2009 046122
    • (2009) Physical Review e , vol.80 , Issue.4 , pp. 046122
    • Lü, L.Y.1    Jin, C.H.2    Zhou, T.3
  • 30
    • 78751613300 scopus 로고    scopus 로고
    • Link prediction in complex networks: A survey
    • L.Y. Lü, and T. Zhou Link prediction in complex networks: A survey Physica A 390 6 2011 1150 1170
    • (2011) Physica A , vol.390 , Issue.6 , pp. 1150-1170
    • Lü, L.Y.1    Zhou, T.2
  • 32
    • 33947715144 scopus 로고    scopus 로고
    • Available Online at
    • Pajek datasets, 2006. Available Online at .
    • (2006) Pajek Datasets
  • 35
    • 0037199968 scopus 로고    scopus 로고
    • Hierarchical organization of modularity in metabolic networks
    • DOI 10.1126/science.1073374
    • E. Ravasz, A.L. Somera, D.A. Mongru, Z.N. Oltvai, and A.L. Barabási Hierarchical organization of modularity in metabolic networks Science 297 5586 2002 1551 1555 (Pubitemid 34971002)
    • (2002) Science , vol.297 , Issue.5586 , pp. 1551-1555
    • Ravasz, E.1    Somera, A.L.2    Mongru, D.A.3    Oltvai, Z.N.4    Barabasi, A.-L.5
  • 38
    • 84880050901 scopus 로고    scopus 로고
    • Proximity measures for link prediction based on temporal events
    • P.R.S. Soares, and R.B.C. Prudêncio Proximity measures for link prediction based on temporal events Expert Systems with Applications 40 16 2013 6652 6660
    • (2013) Expert Systems with Applications , vol.40 , Issue.16 , pp. 6652-6660
    • Soares, P.R.S.1    Prudêncio, R.B.C.2
  • 39
    • 0002969802 scopus 로고
    • A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons
    • T. Srensen A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons Biologiske Skrifter 5 1948 1 34
    • (1948) Biologiske Skrifter , vol.5 , pp. 1-34
    • Srensen, T.1
  • 41
    • 33847113569 scopus 로고    scopus 로고
    • Two new models for determining OWA operator weights
    • DOI 10.1016/j.cie.2006.12.002, PII S0360835206002075
    • Y.M. Wang, Y. Luo, and X.W. Liu Two new models for determining OWA operator weights Computers & Industrial Engineering 52 2 2007 203 209 (Pubitemid 46282344)
    • (2007) Computers and Industrial Engineering , vol.52 , Issue.2 , pp. 203-209
    • Wang, Y.-M.1    Luo, Y.2    Liu, X.3
  • 42
    • 0023855863 scopus 로고    scopus 로고
    • On ordered weighted averaging aggregation operators in multicriteria decision making
    • R.R. Yager On ordered weighted averaging aggregation operators in multicriteria decision making IEEE Transactions on Systems, Man, and Cybernetics 18 1 1998 183 190
    • (1998) IEEE Transactions on Systems, Man, and Cybernetics , vol.18 , Issue.1 , pp. 183-190
    • Yager, R.R.1
  • 49
    • 35648957764 scopus 로고    scopus 로고
    • Bipartite network projection and personal recommendation
    • T. Zhou, J. Ren, M. Medo, and Y.C. Zhang Bipartite network projection and personal recommendation Physical Review E 76 4 2007 046115
    • (2007) Physical Review e , vol.76 , Issue.4 , pp. 046115
    • Zhou, T.1    Ren, J.2    Medo, M.3    Zhang, Y.C.4
  • 50
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • Z.H. Zhou, J.X. Wu, and W. Tang Ensembling neural networks: Many could be better than all Artificial Intelligence 137 1-2 2002 239 262
    • (2002) Artificial Intelligence , vol.137 , Issue.12 , pp. 239-262
    • Zhou, Z.H.1    Wu, J.X.2    Tang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.