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Volumn 8140 LNAI, Issue , 2013, Pages 324-339

Hyperlink prediction in hypernetworks using latent social features

Author keywords

Hyperlink Prediction; Hypernetworks; Social Features

Indexed keywords

ALGORITHMS; COMPLEX NETWORKS; DATA PROCESSING; FORECASTING; SOCIAL NETWORKING (ONLINE);

EID: 84888386248     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40897-7_22     Document Type: Conference Paper
Times cited : (31)

References (43)
  • 1
    • 79952402158 scopus 로고    scopus 로고
    • Supervised random walks: Predicting and recommending links in social networks
    • Backstrom, L., Leskovec, J.: Supervised random walks: predicting and recommending links in social networks. In: WSDM 2011 (2011)
    • (2011) WSDM 2011
    • Backstrom, L.1    Leskovec, J.2
  • 2
    • 84860214044 scopus 로고    scopus 로고
    • A survey of evolutionary algorithms for decision-tree induction
    • Barros, R.C., Basgalupp, M.P., de Carvalho, A., Freitas, A.A.: A survey of evolutionary algorithms for decision-tree induction. IEEE Trans. SMC 42(3), 291-312 (2012)
    • (2012) IEEE Trans. SMC , vol.42 , Issue.3 , pp. 291-312
    • Barros, R.C.1    Basgalupp, M.P.2    De Carvalho, A.3    Freitas, A.A.4
  • 3
  • 5
    • 4344572517 scopus 로고    scopus 로고
    • Hyper-edges and multidimensional centrality
    • Bonachich, P., Holdren, A., Johnston, M.: Hyper-edges and multidimensional centrality. Social Networks 26(3), 189-203 (2004)
    • (2004) Social Networks , vol.26 , Issue.3 , pp. 189-203
    • Bonachich, P.1    Holdren, A.2    Johnston, M.3
  • 8
    • 83055191208 scopus 로고    scopus 로고
    • Temporal link prediction by integrating content and structure information
    • Gao, S., Denoyer, L., Gallinari, P.: Temporal link prediction by integrating content and structure information. In: CIKM 2011 (2011)
    • (2011) CIKM 2011
    • Gao, S.1    Denoyer, L.2    Gallinari, P.3
  • 9
    • 85161967834 scopus 로고    scopus 로고
    • Feature set embedding for incomplete data
    • Grangier, D., Melvin, I.: Feature set embedding for incomplete data. In: NIPS 2010 (2010)
    • (2010) NIPS 2010
    • Grangier, D.1    Melvin, I.2
  • 10
    • 34548062027 scopus 로고    scopus 로고
    • Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
    • Ha, J.-W., Eom, J.-H., Kim, S.-C., Zhang, B.-T.: Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. In: GECCO 2007 (2007)
    • (2007) GECCO 2007
    • Ha, J.-W.1    Eom, J.-H.2    Kim, S.-C.3    Zhang, B.-T.4
  • 11
    • 75849131336 scopus 로고    scopus 로고
    • Modeling homophily and stochastic equivalence in relational data
    • Hoff, P.D.: Modeling homophily and stochastic equivalence in relational data. In: NIPS 2007 (2007)
    • (2007) NIPS 2007
    • Hoff, P.D.1
  • 14
    • 69549111057 scopus 로고    scopus 로고
    • Cutting-plane training of structural svm
    • Joachims, T., Finley, T., Yu, C.J.: Cutting-plane training of structural svm. Machine Learning 77(1), 27-59 (2009)
    • (2009) Machine Learning , vol.77 , Issue.1 , pp. 27-59
    • Joachims, T.1    Finley, T.2    Yu, C.J.3
  • 15
    • 33845583962 scopus 로고    scopus 로고
    • Correlated label propagation with application to multi-label learning
    • Kang, F., Jin, R., Sukthankar, R.: Correlated label propagation with application to multi-label learning. In: CVPR 2006 (2006)
    • (2006) CVPR 2006
    • Kang, F.1    Jin, R.2    Sukthankar, R.3
  • 16
  • 17
    • 84868615407 scopus 로고    scopus 로고
    • Organizational misfits and the origins of brokerage in intra-firm networks
    • Kleinbaum, A.M.: Organizational misfits and the origins of brokerage in intra-firm networks. Administrative Science Quarterly 57, 407-452 (2012)
    • (2012) Administrative Science Quarterly , vol.57 , pp. 407-452
    • Kleinbaum, A.M.1
  • 18
    • 84888317772 scopus 로고    scopus 로고
    • Inside the black box of the corporate staff: Social networks and the implementation of corporate strategy
    • Kleinbaum, A.M., Stuart, T.E.: Inside the black box of the corporate staff: Social networks and the implementation of corporate strategy. Strategic Management Journal (2013)
    • (2013) Strategic Management Journal
    • Kleinbaum, A.M.1    Stuart, T.E.2
  • 19
    • 1942452419 scopus 로고    scopus 로고
    • A kernel between set of vectors
    • Kondor, R., Jebara, T.: A kernel between set of vectors. In: ICML 2003 (2003)
    • (2003) ICML 2003
    • Kondor, R.1    Jebara, T.2
  • 20
    • 30344443646 scopus 로고    scopus 로고
    • Empirical analysis of an evolving social network
    • Kossinets, G.,Watts, D.J.: Empirical analysis of an evolving social network. Science (2006)
    • (2006) Science
    • Kossinets, G.1    Watts, D.J.2
  • 21
    • 18744398132 scopus 로고    scopus 로고
    • The link prediction problem for social networks
    • Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. In: CIKM 2003 (2003)
    • (2003) CIKM 2003
    • Liben-Nowell, D.1    Kleinberg, J.2
  • 23
    • 34249102504 scopus 로고    scopus 로고
    • Classification in networked data: A toolkit and a univariate case study
    • Macskassy, S.A., Provost, F.: Classification in networked data: A toolkit and a univariate case study. JMLR 8, 935-983 (2007)
    • (2007) JMLR , vol.8 , pp. 935-983
    • Macskassy, S.A.1    Provost, F.2
  • 27
    • 79951739147 scopus 로고    scopus 로고
    • Nonparametric latent feature models for link prediction
    • Miller, K.T., Griffiths, T.L., Jordan, M.I.: Nonparametric latent feature models for link prediction. In: NIPS 2009 (2009)
    • (2009) NIPS 2009
    • Miller, K.T.1    Griffiths, T.L.2    Jordan, M.I.3
  • 28
    • 84957881419 scopus 로고    scopus 로고
    • Leveraging relational autocorrelation with latent group models
    • Neville, J., Jensen, D.: Leveraging relational autocorrelation with latent group models. In: SIGKDD Workshop 2005 (2005)
    • (2005) SIGKDD Workshop 2005
    • Neville, J.1    Jensen, D.2
  • 29
    • 0038718854 scopus 로고    scopus 로고
    • The structure and function of complex networks
    • Newman, M.: The structure and function of complex networks. SIAMReview 45(1), 167-256 (2003)
    • (2003) SIAMReview , vol.45 , Issue.1 , pp. 167-256
    • Newman, M.1
  • 31
    • 20444504323 scopus 로고    scopus 로고
    • Uncovering the overlapping community structure of complex networks in nature and society
    • Palla, G., Derenyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043), 814-818 (2005)
    • (2005) Nature , vol.435 , Issue.7043 , pp. 814-818
    • Palla, G.1    Derenyi, I.2    Farkas, I.3    Vicsek, T.4
  • 33
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • Shi, J., Malik, J.: Normalized cuts and image segmentation. TPAMI 22(8), 888-905 (2000)
    • (2000) TPAMI , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 34
    • 65449185036 scopus 로고    scopus 로고
    • Hypergraph spectral learning for multi-label classification
    • Sun, L., Ji, S., Ye, J.: Hypergraph spectral learning for multi-label classification. In: SIGKDD 2008 (2008)
    • (2008) SIGKDD 2008
    • Sun, L.1    Ji, S.2    Ye, J.3
  • 35
    • 70350663106 scopus 로고    scopus 로고
    • Relational learning via latent social dimensions
    • Tang, L., Liu, H.: Relational learning via latent social dimensions. In: SIGKDD 2009 (2009)
    • (2009) SIGKDD 2009
    • Tang, L.1    Liu, H.2
  • 36
    • 14344250451 scopus 로고    scopus 로고
    • Support vector learning for interdependent and structured output spaces
    • Tsochantaridis, I., Hofmann, T., Joachims, T., Altun, Y.: Support vector learning for interdependent and structured output spaces. In: ICML 2004 (2004)
    • (2004) ICML 2004
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 38
    • 84870216809 scopus 로고    scopus 로고
    • Concurrent control chart patterns recognition with singular spectrum analysis and support vector machine
    • Xie, L., Gu, N., Li, D., Cao, Z., Tan, M., Nahavandi, S.: Concurrent control chart patterns recognition with singular spectrum analysis and support vector machine. Computers and Industry Engineering 64(1), 280-289 (2013)
    • (2013) Computers and Industry Engineering , vol.64 , Issue.1 , pp. 280-289
    • Xie, L.1    Gu, N.2    Li, D.3    Cao, Z.4    Tan, M.5    Nahavandi, S.6
  • 39
    • 79960277723 scopus 로고    scopus 로고
    • Feature dimensionality reduction for example-based image super-resolution
    • Xie, L., Li, D., Simske, S.J.: Feature dimensionality reduction for example-based image super-resolution. Journal of Pattern Recognition Research 2, 130-139 (2011)
    • (2011) Journal of Pattern Recognition Research , vol.2 , pp. 130-139
    • Xie, L.1    Li, D.2    Simske, S.J.3
  • 41
    • 84870416465 scopus 로고    scopus 로고
    • Feature selection for link prediction
    • Xu, Y., Rockmore, D.: Feature selection for link prediction. In: PIKM 2012 (2012)
    • (2012) PIKM 2012
    • Xu, Y.1    Rockmore, D.2
  • 42
    • 85135520881 scopus 로고    scopus 로고
    • Learning with hypergraphs: Clustering, classification, and embedding
    • Zhou, D., Huang, J., Schölkopf, B.: Learning with hypergraphs: Clustering, classification, and embedding. In: NIPS 2006 (2006)
    • (2006) NIPS 2006
    • Zhou, D.1    Huang, J.2    Schölkopf, B.3
  • 43
    • 84867115033 scopus 로고    scopus 로고
    • Max-margin nonparametric latent feature models for link prediction
    • Zhu, J.: Max-margin nonparametric latent feature models for link prediction. In: ICML 2012 (2012)
    • (2012) ICML 2012
    • Zhu, J.1


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