-
1
-
-
67849135609
-
Recovering time-varying networks of dependencies in social and biological studies
-
Ahmed, A. and Xing, E. P. (2009). Recovering time-varying networks of dependencies in social and biological studies. Proceedings of the National Academy of Sciences, 106(29): 11878-11883.
-
(2009)
Proceedings of the National Academy of Sciences
, vol.106
, Issue.29
, pp. 11878-11883
-
-
Ahmed, A.1
Xing, E.P.2
-
2
-
-
54249110594
-
Mixed membership stochastic blockmod-els
-
Airoldi, E. M., Blei, D. M., Fienberg, S. E., and Xing, E. P. (2008). Mixed membership stochastic blockmod-els. Journal of Machine Learning Research, 9:1981-2014.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1981-2014
-
-
Airoldi, E.M.1
Blei, D.M.2
Fienberg, S.E.3
Xing, E.P.4
-
3
-
-
84899007980
-
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
-
Airoldi, E. M., Costa, T. B., and Chan, S. H. (2013). Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. In Advances in Neural Information Processing Systems 26, pages 692-700.
-
(2013)
Advances in Neural Information Processing Systems
, vol.26
, pp. 692-700
-
-
Airoldi, E.M.1
Costa, T.B.2
Chan, S.H.3
-
4
-
-
84907144758
-
Pseudo-likelihood methods for community detection in large sparse networks
-
Amini, A. A., Chen, A., Bickel, P. J., and Levina, E. (2013). Pseudo-likelihood methods for community detection in large sparse networks. The Annals of Statistics, 41(4):2097-2122.
-
(2013)
The Annals of Statistics
, vol.41
, Issue.4
, pp. 2097-2122
-
-
Amini, A.A.1
Chen, A.2
Bickel, P.J.3
Levina, E.4
-
6
-
-
84907151164
-
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
-
Bickel, P., Choi, D., Chang, X., and Zhang, H. (2013). Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels. The Annals of Statistics, 41(4):1922-1943.
-
(2013)
The Annals of Statistics
, vol.41
, Issue.4
, pp. 1922-1943
-
-
Bickel, P.1
Choi, D.2
Chang, X.3
Zhang, H.4
-
7
-
-
75849140057
-
A nonparametric view of network models and Newman-Girvan and other modularities
-
Bickel, P. J. and Chen, A. (2009). A nonparametric view of network models and Newman-Girvan and other modularities. Proceedings of the National Academy of Sciences, 106(50):21068-21073.
-
(2009)
Proceedings of the National Academy of Sciences
, vol.106
, Issue.50
, pp. 21068-21073
-
-
Bickel, P.J.1
Chen, A.2
-
8
-
-
84875385659
-
Consistency of maximum-likelihood and variational estimators in the stochastic block model
-
Celisse, A., Daudin, J.-J., and Pierre, L. (2012). Consistency of maximum-likelihood and variational estimators in the stochastic block model. Electronic Journal of Statistics, 6:1847-1899.
-
(2012)
Electronic Journal of Statistics
, vol.6
, pp. 1847-1899
-
-
Celisse, A.1
Daudin, J.-J.2
Pierre, L.3
-
9
-
-
84861614159
-
Stochastic blockmodels with a growing number of classes
-
Choi, D. S., Wolfe, P. J., and Airoldi, E. M. (2012). Stochastic blockmodels with a growing number of classes. Biometrika, 99:273-284.
-
(2012)
Biometrika
, vol.99
, pp. 273-284
-
-
Choi, D.S.1
Wolfe, P.J.2
Airoldi, E.M.3
-
10
-
-
39449099786
-
A mixture model for random graphs
-
Daudin, J.-J., Picard, F., and Robin, S. (2008). A mixture model for random graphs. Statistics and Computing, 18(2):173-183.
-
(2008)
Statistics and Computing
, vol.18
, Issue.2
, pp. 173-183
-
-
Daudin, J.-J.1
Picard, F.2
Robin, S.3
-
11
-
-
84555195640
-
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
-
Decelle, A., Krzakala, F., Moore, C., and Zdeborová, L. (2011). Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications. Physical Review E, 84(6):066106.
-
(2011)
Physical Review E
, vol.84
, Issue.6
, pp. 066106
-
-
Decelle, A.1
Krzakala, F.2
Moore, C.3
Zdeborová, L.4
-
14
-
-
33645311516
-
Reality mining: Sensing complex social systems
-
Eagle, N. and Pentland, A. (2006). Reality mining: sensing complex social systems. Personal and Ubiquitous Computing, 10(4):255-268.
-
(2006)
Personal and Ubiquitous Computing
, vol.10
, Issue.4
, pp. 255-268
-
-
Eagle, N.1
Pentland, A.2
-
15
-
-
0003096526
-
Statistical analysis of multiple sociometric relations
-
Fienberg, S. E., Meyer, M. M., and Wasserman, S. S. (1985). Statistical analysis of multiple sociometric relations. Journal of the American Statistical Association, 80(389):51-67.
-
(1985)
Journal of the American Statistical Association
, vol.80
, Issue.389
, pp. 51-67
-
-
Fienberg, S.E.1
Meyer, M.M.2
Wasserman, S.S.3
-
16
-
-
84862284477
-
A dynamic relational infinite feature model for longitudinal social networks
-
Foulds, J. R., DuBois, C., Asuncion, A. U., Butts, C. T., and Smyth, P. (2011). A dynamic relational infinite feature model for longitudinal social networks. In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, pages 287-295.
-
(2011)
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics
, pp. 287-295
-
-
Foulds, J.R.1
DuBois, C.2
Asuncion, A.U.3
Butts, C.T.4
Smyth, P.5
-
18
-
-
77649177770
-
A survey of statistical network models
-
Goldenberg, A., Zheng, A. X., Fienberg, S. E., and Airoldi, E. M. (2010). A survey of statistical network models. Foundations and Trends® in Machine Learning, 2(2): 129-233.
-
(2010)
Foundations and Trends® in Machine Learning
, vol.2
, Issue.2
, pp. 129-233
-
-
Goldenberg, A.1
Zheng, A.X.2
Fienberg, S.E.3
Airoldi, E.M.4
-
20
-
-
85020065545
-
Discrete temporal models of social networks
-
Hanneke, S., Fu, W., and Xing, E. P. (2010). Discrete temporal models of social networks. Electronic Journal of Statistics, 4:585-605.
-
(2010)
Electronic Journal of Statistics
, vol.4
, pp. 585-605
-
-
Hanneke, S.1
Fu, W.2
Xing, E.P.3
-
22
-
-
84861853557
-
Evolving cluster mixed-membership blockmodel for time-evolving networks
-
Ho, Q., Song, L., and Xing, E. P. (2011). Evolving cluster mixed-membership blockmodel for time-evolving networks. In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, pages 342-350.
-
(2011)
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics
, pp. 342-350
-
-
Ho, Q.1
Song, L.2
Xing, E.P.3
-
23
-
-
0012864758
-
Stochastic blockmodels: First steps
-
Holland, P. W., Laskey, K. B., and Leinhardt, S. (1983). Stochastic blockmodels: First steps. Social networks, 5(2): 109-137.
-
(1983)
Social Networks
, vol.5
, Issue.2
, pp. 109-137
-
-
Holland, P.W.1
Laskey, K.B.2
Leinhardt, S.3
-
24
-
-
85161983942
-
Dynamic infinite relational model for time-varying relational data analysis
-
Ishiguro, K., Iwata, T., Ueda, N., and Tenenbaum, J. B. (2010). Dynamic infinite relational model for time-varying relational data analysis. In Advances in Neural Information Processing Systems 23, pages 919-927.
-
(2010)
Advances in Neural Information Processing Systems
, vol.23
, pp. 919-927
-
-
Ishiguro, K.1
Iwata, T.2
Ueda, N.3
Tenenbaum, J.B.4
-
26
-
-
79951710564
-
Stochastic blockmodels and community structure in networks
-
Karrer, B. and Newman, M. (2011). Stochastic blockmodels and community structure in networks. Physical Review E, 83(1):016107.
-
(2011)
Physical Review E
, vol.83
, Issue.1
, pp. 016107
-
-
Karrer, B.1
Newman, M.2
-
27
-
-
84898968964
-
Nonparametric multi-group membership model for dynamic networks
-
Kim, M. and Leskovec, J. (2013). Nonparametric multi-group membership model for dynamic networks. In Advances in Neural Information Processing Systems 26, pages 1385-1393.
-
(2013)
Advances in Neural Information Processing Systems
, vol.26
, pp. 1385-1393
-
-
Kim, M.1
Leskovec, J.2
-
28
-
-
0002719797
-
The hungarian method for the assignment problem
-
Kuhn, H. W. (1955). The Hungarian method for the assignment problem. Naval Research Logistics Quarterly, 2(1-2):83-97.
-
(1955)
Naval Research Logistics Quarterly
, vol.2
, Issue.1-2
, pp. 83-97
-
-
Kuhn, H.W.1
-
29
-
-
84922512593
-
Consistency of spectral clustering in stochastic block models
-
Lei, J. and Rinaldo, A. (2014). Consistency of spectral clustering in stochastic block models. The Annals of Statistics, 43(1):215-237.
-
(2014)
The Annals of Statistics
, vol.43
, Issue.1
, pp. 215-237
-
-
Lei, J.1
Rinaldo, A.2
-
31
-
-
77952328459
-
Community structure in time-dependent, multiscale, and multiplex networks
-
Mucha, R J., Richardson, T., Macon, K., Porter, M. A., and Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980):876-878.
-
(2010)
Science
, vol.328
, Issue.5980
, pp. 876-878
-
-
Mucha, R.J.1
Richardson, T.2
Macon, K.3
Porter, M.A.4
Onnela, J.-P.5
-
33
-
-
37649028224
-
Finding and evaluating community structure in networks
-
Newman, M. and Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2):026113.
-
(2004)
Physical Review E
, vol.69
, Issue.2
, pp. 026113
-
-
Newman, M.1
Girvan, M.2
-
35
-
-
84904707135
-
Multilayer graph analytics for dynamic social networks
-
Oselio, B., Kulesza, A., and Hero, A. O. (2014). Multilayer graph analytics for dynamic social networks. IEEE Journal of Selected Topics in Signal Processing, 8.
-
(2014)
IEEE Journal of Selected Topics in Signal Processing
, pp. 8
-
-
Oselio, B.1
Kulesza, A.2
Hero, A.O.3
-
36
-
-
80052860256
-
Spectral clustering and the high-dimensional stochastic blockmodel
-
Rohe, K., Chatterjee, S., and Yu, B. (2011). Spectral clustering and the high-dimensional stochastic blockmodel. The Annals of Statistics, 39(4): 1878-1915.
-
(2011)
The Annals of Statistics
, vol.39
, Issue.4
, pp. 1878-1915
-
-
Rohe, K.1
Chatterjee, S.2
Yu, B.3
-
38
-
-
36849035459
-
Dynamic social network analysis using latent space models
-
Sarkar, P. and Moore, A. W. (2005). Dynamic social network analysis using latent space models. ACM SIGKDD Explorations Newsletter, 7(2):31-40.
-
(2005)
ACM SIGKDD Explorations Newsletter
, vol.7
, Issue.2
, pp. 31-40
-
-
Sarkar, P.1
Moore, A.W.2
-
39
-
-
84862281537
-
A latent space approach to dynamic embedding of cooccurrence data
-
Sarkar, P., Siddiqi, S. M., and Gordon, G. J. (2007). A latent space approach to dynamic embedding of cooccurrence data. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics, pages 420-427.
-
(2007)
Proceedings of the 11th International Conference on Artificial Intelligence and Statistics
, pp. 420-427
-
-
Sarkar, P.1
Siddiqi, S.M.2
Gordon, G.J.3
-
40
-
-
77951207739
-
Modeling graphs using dot product representations
-
Scheinerman, E. R. and Tucker, K. (2010). Modeling graphs using dot product representations. Computational Statistics, 25(1): 1-16.
-
(2010)
Computational Statistics
, vol.25
, Issue.1
, pp. 1-16
-
-
Scheinerman, E.R.1
Tucker, K.2
-
41
-
-
84870676163
-
A consistent adjacency spectral embedding for stochastic blockmodel graphs
-
Sussman, D. L., Tang, M., Fishkind, D. E., and Priebe, C. E. (2012). A consistent adjacency spectral embedding for stochastic blockmodel graphs. Journal of the American Statistical Association, 107(499): 1119-1128.
-
(2012)
Journal of the American Statistical Association
, vol.107
, Issue.499
, pp. 1119-1128
-
-
Sussman, D.L.1
Tang, M.2
Fishkind, D.E.3
Priebe, C.E.4
-
42
-
-
77956372873
-
Multire-lational organization of large-scale social networks in an online world
-
Szell, M., Lambiotte, R., and Thurner, S. (2010). Multire-lational organization of large-scale social networks in an online world. Proceedings of the National Academy of Sciences, 107(31): 13636-13641.
-
(2010)
Proceedings of the National Academy of Sciences
, vol.107
, Issue.31
, pp. 13636-13641
-
-
Szell, M.1
Lambiotte, R.2
Thurner, S.3
-
46
-
-
84893675925
-
Adaptive evolutionary clustering
-
Xu, K. S., Kliger, M., and Hero, A. O. (2014). Adaptive evolutionary clustering. Data Mining and Knowledge Discovery, 28(2):304-336.
-
(2014)
Data Mining and Knowledge Discovery
, vol.28
, Issue.2
, pp. 304-336
-
-
Xu, K.S.1
Kliger, M.2
Hero, A.O.3
-
47
-
-
84922583027
-
Nonparametric estimation and testing of exchangeable graph models
-
Yang, J. J., Han, Q., and Airoldi, E. M. (2014). Nonparametric estimation and testing of exchangeable graph models. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics, pages 1060-1067.
-
(2014)
Proceedings of the 17th International Conference on Artificial Intelligence and Statistics
, pp. 1060-1067
-
-
Yang, J.J.1
Han, Q.2
Airoldi, E.M.3
-
48
-
-
79851513504
-
Detecting communities and their evolutions in dynamic social networks-A Bayesian approach
-
Yang, T., Chi, Y., Zhu, S., Gong, Y., and Jin, R. (2011). Detecting communities and their evolutions in dynamic social networks-a Bayesian approach. Machine Learning, 82(2): 157-189.
-
(2011)
Machine Learning
, vol.82
, Issue.2
, pp. 157-189
-
-
Yang, T.1
Chi, Y.2
Zhu, S.3
Gong, Y.4
Jin, R.5
-
49
-
-
84874798051
-
Consistency of community detection in networks under degree-corrected stochastic block models
-
Zhao, Y., Levina, E., and Zhu, J. (2012). Consistency of community detection in networks under degree-corrected stochastic block models. The Annals of Statistics, 40(4):2266-2292.
-
(2012)
The Annals of Statistics
, vol.40
, Issue.4
, pp. 2266-2292
-
-
Zhao, Y.1
Levina, E.2
Zhu, J.3
|