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Volumn 26, Issue 12, 2014, Pages 2942-2955

Co-evolution of multi-typed objects in dynamic star networks

Author keywords

Data mining; Database Applications; Database Management; Information Technology and Systems

Indexed keywords

CO-EVOLUTION; DATABASE APPLICATIONS; DATABASE MANAGEMENT; INFORMATION TECHNOLOGY AND SYSTEMS; STAR NETWORK;

EID: 84910028320     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2013.103     Document Type: Article
Times cited : (27)

References (33)
  • 2
    • 52649163923 scopus 로고    scopus 로고
    • Dynamic non-parametric mixture models and the recurrent chinese restaurant process: With applications to evolutionary clustering
    • A. Ahmed and E. P. Xing, "Dynamic non-parametric mixture models and the recurrent chinese restaurant process: With applications to evolutionary clustering," in Proc. SDM, 2008, pp. 219-230.
    • (2008) Proc. SDM , pp. 219-230
    • Ahmed, A.1    Xing, E.P.2
  • 3
    • 72449133333 scopus 로고    scopus 로고
    • An event-based framework for characterizing the evolutionary behavior of interaction graphs
    • Nov.
    • S. Asur, S. Parthasarathy, and D. Ucar, "An event-based framework for characterizing the evolutionary behavior of interaction graphs," ACM Trans. Knowl. Discov. Data, vol. 3, no. 4, pp. 16:1-16:36, Nov. 2009.
    • (2009) ACM Trans. Knowl. Discov. Data , vol.3 , Issue.4 , pp. 161-1636
    • Asur, S.1    Parthasarathy, S.2    Ucar, D.3
  • 4
    • 33749242628 scopus 로고    scopus 로고
    • Dynamic topic models
    • Pittsburgh, PA, USA
    • D. M. Blei and J. D. Lafferty, "Dynamic topic models," in Proc. ICML, Pittsburgh, PA, USA, 2006.
    • (2006) Proc. ICML
    • Blei, D.M.1    Lafferty, J.D.2
  • 5
    • 36849005505 scopus 로고    scopus 로고
    • Evolutionary spectral clustering by incorporating temporal smoothness
    • San Jose, CA, USA
    • Y. Chi, X. Song, D. Zhou, K. Hino, and B. L. Tseng, "Evolutionary spectral clustering by incorporating temporal smoothness," in Proc. KDD, San Jose, CA, USA, 2007.
    • (2007) Proc. KDD
    • Chi, Y.1    Song, X.2    Zhou, D.3    Hino, K.4    Tseng, B.L.5
  • 6
    • 71149093889 scopus 로고    scopus 로고
    • Dynamic mixed membership blockmodel for evolving networks
    • New York, NY, USA
    • W. Fu, L. Song, and E. P. Xing, "Dynamic mixed membership blockmodel for evolving networks," in Proc. ICML, New York, NY, USA, 2009.
    • (2009) Proc. ICML
    • Fu, W.1    Song, L.2    Xing, E.P.3
  • 7
    • 34247111980 scopus 로고    scopus 로고
    • Model-based clustering for social networks
    • M. S. Handcock, A. E. Raftery, and J. M. Tantrum, "Model-based clustering for social networks," J. Roy. Stat. Soc. A, vol. 170, no. 2, pp. 301-354, 2007.
    • (2007) J. Roy. Stat. Soc. A , vol.170 , Issue.2 , pp. 301-354
    • Handcock, M.S.1    Raftery, A.E.2    Tantrum, J.M.3
  • 8
    • 74549121414 scopus 로고    scopus 로고
    • Detecting topic evolution in scientific literature: How can citations help?" in
    • Hong Kong
    • Q. He et al., "Detecting topic evolution in scientific literature: How can citations help?" in Proc. CIKM, Hong Kong, 2009.
    • (2009) Proc. CIKM
    • He, Q.1
  • 9
    • 0036967824 scopus 로고    scopus 로고
    • Latent space approaches to social network analysis
    • P. D. Hoff, A. E. Raftery, and M. S. Handcock, "Latent space approaches to social network analysis," J. Am. Stat. Assoc., vol. 97, no. 460, pp. 1090-1098, 2001.
    • (2001) J. Am. Stat. Assoc. , vol.97 , Issue.460 , pp. 1090-1098
    • Hoff, P.D.1    Raftery, A.E.2    Handcock, M.S.3
  • 10
    • 85161983942 scopus 로고    scopus 로고
    • Dynamic infinite relational model for time-varying relational data analysis
    • K. Ishiguro, T. Iwata, N. Ueda, and J. B. Tenenbaum, "Dynamic infinite relational model for time-varying relational data analysis," in Proc. NIPS, 2010, pp. 919-927.
    • (2010) Proc. NIPS , pp. 919-927
    • Ishiguro, K.1    Iwata, T.2    Ueda, N.3    Tenenbaum, J.B.4
  • 11
    • 79851513672 scopus 로고    scopus 로고
    • A particle-and-density based evolutionary clustering method for dynamic networks
    • Lyon, France
    • M.-S. Kim and J. Han, "A particle-and-density based evolutionary clustering method for dynamic networks," in Proc. VLDB, Lyon, France, 2009.
    • (2009) Proc. VLDB
    • Kim, M.-S.1    Han, J.2
  • 12
    • 84455194092 scopus 로고    scopus 로고
    • MetaFac: Community discovery via relational hypergraph factorization
    • Paris, France
    • Y.-R. Lin et al., "MetaFac: Community discovery via relational hypergraph factorization," in Proc. KDD, Paris, France, 2009.
    • (2009) Proc. KDD
    • Lin, Y.-R.1
  • 13
    • 29244457315 scopus 로고    scopus 로고
    • Discovering evolutionary theme patterns from text: An exploration of temporal text mining
    • Chicago, IL, USA
    • Q. Mei and C. Zhai, "Discovering evolutionary theme patterns from text: An exploration of temporal text mining," in Proc. KDD, Chicago, IL, USA, 2005.
    • (2005) Proc. KDD
    • Mei, Q.1    Zhai, C.2
  • 14
    • 65449120412 scopus 로고    scopus 로고
    • Joint latent topic models for text and citations
    • Las Vegas, NV, USA
    • R. M. Nallapati, A. Ahmed, E. P. Xing, and W. W. Cohen, "Joint latent topic models for text and citations," in Proc. KDD, Las Vegas, NV, USA, 2008.
    • (2008) Proc. KDD
    • Nallapati, R.M.1    Ahmed, A.2    Xing, E.P.3    Cohen, W.W.4
  • 15
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for Dirichlet process mixture models
    • R. M. Neal, "Markov chain sampling methods for Dirichlet process mixture models," J. Comput. Graph. Stat., vol. 9, no. 2, pp. 249-265, 2000.
    • (2000) J. Comput. Graph. Stat. , vol.9 , Issue.2 , pp. 249-265
    • Neal, R.M.1
  • 16
    • 33749468596 scopus 로고    scopus 로고
    • Finding community structure in networks using the eigenvectors of matrices
    • Sep.
    • M. E. J. Newman, "Finding community structure in networks using the eigenvectors of matrices," Phys. Rev. E, vol. 74, p. 036104, Sep. 2006.
    • (2006) Phys. Rev. e , vol.74 , pp. 036104
    • Newman, M.E.J.1
  • 17
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • Feb.
    • M. E. J. Newman and M. Girvan, "Finding and evaluating community structure in networks," Phys. Rev. E, vol. 69, p. 026113, Feb. 2004.
    • (2004) Phys. Rev. e , vol.69 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 18
    • 56449123630 scopus 로고    scopus 로고
    • The dynamic hierarchical Dirichlet process
    • L. Ren, D. B. Dunson, and L. Carin, "The dynamic hierarchical Dirichlet process," in Proc. ICML, 2008.
    • (2008) Proc. ICML
    • Ren, L.1    Dunson, D.B.2    Carin, L.3
  • 19
    • 36849035459 scopus 로고    scopus 로고
    • Dynamic social network analysis using latent space models
    • P. Sarkar and A. W. Moore, "Dynamic social network analysis using latent space models," SIGKDD Explor., vol. 7, no. 2, pp. 31-40, 2005.
    • (2005) SIGKDD Explor. , vol.7 , Issue.2 , pp. 31-40
    • Sarkar, P.1    Moore, A.W.2
  • 20
    • 0003314308 scopus 로고    scopus 로고
    • Markov chain Monte Carlo estimation of exponential
    • random graph models
    • T. A. B. Snijders, "Markov chain Monte Carlo estimation of exponential random graph models," J. Soc. Struct., vol. 3, no. 2, pp. 1-40, 2002.
    • (2002) J. Soc. Struct. , vol.3 , Issue.2 , pp. 1-40
    • Snijders, T.A.B.1
  • 21
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles-A knowledge reuse framework for combining multiple partitions
    • Dec.
    • A. Strehl and J. Ghosh, "Cluster ensembles-A knowledge reuse framework for combining multiple partitions," J. Mach. Learn. Res., vol. 3, pp. 583-617, Dec. 2002.
    • (2002) J. Mach. Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 22
    • 77956249911 scopus 로고    scopus 로고
    • Community evolution detection in dynamic heterogeneous information networks
    • Washington, DC, USA
    • Y. Sun, J. Tang, J. Han, M. Gupta, and B. Zhao, "Community evolution detection in dynamic heterogeneous information networks," in Proc. MLG, Washington, DC, USA, 2010.
    • (2010) Proc. MLG
    • Sun, Y.1    Tang, J.2    Han, J.3    Gupta, M.4    Zhao, B.5
  • 23
    • 70350625449 scopus 로고    scopus 로고
    • Ranking-based clustering of heterogeneous information networks with star network schema
    • Paris, France
    • Y. Sun, Y. Yu, and J. Han, "Ranking-based clustering of heterogeneous information networks with star network schema," in Proc. KDD, Paris, France, 2009.
    • (2009) Proc. KDD
    • Sun, Y.1    Yu, Y.2    Han, J.3
  • 24
    • 65449147147 scopus 로고    scopus 로고
    • Community evolution in dynamic multi-mode networks
    • Las Vegas, NV, USA
    • L. Tang, H. Liu, J. Zhang, and Z. Nazeri, "Community evolution in dynamic multi-mode networks," in Proc. KDD, Las Vegas, NV, USA, 2008.
    • (2008) Proc. KDD
    • Tang, L.1    Liu, H.2    Zhang, J.3    Nazeri, Z.4
  • 25
    • 77956217715 scopus 로고    scopus 로고
    • Dirichlet processes
    • New York, NY, USA, Springer
    • Y. W. Teh, "Dirichlet processes," in Encyclopedia Machine Learning. New York, NY, USA, Springer, 2010.
    • (2010) Encyclopedia Machine Learning
    • Teh, Y.W.1
  • 27
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. von Luxburg, "A tutorial on spectral clustering," Statistics and computing, vol. 17, no. 4, pp. 395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Von Luxburg, U.1
  • 28
    • 84880106426 scopus 로고    scopus 로고
    • A spectral clustering approach to finding communities in graph
    • S. White and P. Smyth, "A spectral clustering approach to finding communities in graph," in Proc. SDM, 2005.
    • (2005) Proc. SDM
    • White, S.1    Smyth, P.2
  • 29
    • 67049138448 scopus 로고    scopus 로고
    • Dirichlet process based evolutionary clustering
    • Pisa, Italy
    • T. Xu, Z. M. Zhang, P. S. Yu, and B. Long, "Dirichlet process based evolutionary clustering," in Proc. ICDM, Pisa, Italy, 2008.
    • (2008) Proc. ICDM
    • Xu, T.1    Zhang, Z.M.2    Yu, P.S.3    Long, B.4
  • 30
    • 67049114684 scopus 로고    scopus 로고
    • Evolutionary clustering by hierarchical Dirichlet process with hidden markov state
    • Pisa, Italy
    • T. Xu, Z. M. Zhang, P. S. Yu, and B. Long, "Evolutionary clustering by hierarchical Dirichlet process with hidden markov state," in Proc. ICDM, Pisa, Italy, 2008.
    • (2008) Proc. ICDM
    • Xu, T.1    Zhang, Z.M.2    Yu, P.S.3    Long, B.4
  • 31
    • 3042824043 scopus 로고    scopus 로고
    • A study of smoothing methods for language models applied to information retrieval
    • C. Zhai and J. D. Lafferty, "A study of smoothing methods for language models applied to information retrieval," ACM Trans. Inf. Syst., vol. 22, no. 2, pp. 179-214, 2004.
    • (2004) ACM Trans. Inf. Syst. , vol.22 , Issue.2 , pp. 179-214
    • Zhai, C.1    Lafferty, J.D.2
  • 32
    • 77956211804 scopus 로고    scopus 로고
    • Evolutionary hierarchical Dirichlet processes for multiple correlated time-varying corpora
    • Washington, DC, USA
    • J. Zhang, Y. Song, C. Zhang, and S. Liu, "Evolutionary hierarchical Dirichlet processes for multiple correlated time-varying corpora," in Proc. KDD, Washington, DC, USA, 2010.
    • (2010) Proc. KDD
    • Zhang, J.1    Song, Y.2    Zhang, C.3    Liu, S.4
  • 33
    • 33747733321 scopus 로고    scopus 로고
    • Time-sensitive Dirichlet process mixture models
    • Carnegie Mellon Univ., Pittsburgh, PA, USA, Tech. Rep. CMU-CALD-05-104
    • X. Zhu, Z. Ghahramani, and J. Lafferty, "Time-sensitive Dirichlet process mixture models," School Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA, Tech. Rep. CMU-CALD-05-104, 2005.
    • (2005) School Comput. Sci.
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


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