-
2
-
-
84985994730
-
Nonparametric Bayes dynamic modelling of relational data
-
D. Durante and D. B. Dunson. Nonparametric Bayes dynamic modelling of relational data. Biometrika, 101(4):883-898, 2014.
-
(2014)
Biometrika
, vol.101
, Issue.4
, pp. 883-898
-
-
Durante, D.1
Dunson, D.B.2
-
3
-
-
84862284477
-
A dynamic relational infinite feature model for longitudinal social networks
-
J. R. Foulds, C. DuBois, A. U. Asuncion, C. T. Butts, and P. Smyth. 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.
-
(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
-
4
-
-
77649177770
-
A survey of statistical network models
-
A. Goldenberg, A. X. Zheng, S. E. Fienberg, and E. M. Airoldi. A survey of statistical network models. Foundations and Trends in Machine Learning, 2(2): 129-233, 2009.
-
(2009)
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
-
5
-
-
34547980513
-
Recovering temporally rewiring networks: A model-based approach
-
F. Guo, S. Hanneke, W. Fu, and E. P. Xing. Recovering temporally rewiring networks: A model-based approach. In Proceedings of the 24th International Conference on Machine Learning, pages 321-328, 2007.
-
(2007)
Proceedings of the 24th International Conference on Machine Learning
, pp. 321-328
-
-
Guo, F.1
Hanneke, S.2
Fu, W.3
Xing, E.P.4
-
8
-
-
77958057679
-
Hierarchical multilinear models for multi-way data
-
P. D. Hoff. Hierarchical multilinear models for multi-way data. Computational Statistics and Data Analysis, 55(1):530-543, 2011.
-
(2011)
Computational Statistics and Data Analysis
, vol.55
, Issue.1
, pp. 530-543
-
-
Hoff, P.D.1
-
9
-
-
0012864758
-
Stochastic blockmodels: First steps
-
P. W. Holland, K. B. Laskey, and S. Leinhardt. Stochastic blockmodels: First steps. Social Networks, 5(2):109-137, 1983.
-
(1983)
Social Networks
, vol.5
, Issue.2
, pp. 109-137
-
-
Holland, P.W.1
Laskey, K.B.2
Leinhardt, S.3
-
11
-
-
85161983942
-
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 Advances in Neural Information Processing Systems 23, pages 919-927, 2010.
-
(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
-
13
-
-
80052630407
-
A latent process model for time series of attributed random graphs
-
N. H. Lee and C. E. Priebe. A latent process model for time series of attributed random graphs. Statistical Inference for Stochastic Processes, 14(3):231-253, 2011.
-
(2011)
Statistical Inference for Stochastic Processes
, vol.14
, Issue.3
, pp. 231-253
-
-
Lee, N.H.1
Priebe, C.E.2
-
15
-
-
36849035459
-
Dynamic social network analysis using latent space models
-
P. Sarkar and A. W. Moore. Dynamic social network analysis using latent space models. ACM SIGKDD Explorations Newsletter, 7(2):31-40, 2005.
-
(2005)
ACM SIGKDD Explorations Newsletter
, vol.7
, Issue.2
, pp. 31-40
-
-
Sarkar, P.1
Moore, A.W.2
-
17
-
-
84870676163
-
A consistent adjacency spectral embedding for stochastic blockmodel graphs
-
D. L. Sussman, M. Tang, D. E. Fishkind, and C. E. Priebe. A consistent adjacency spectral embedding for stochastic blockmodel graphs. Journal of the American Statistical Association, 107(499): 1119-1128, 2012.
-
(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
-
18
-
-
84995477295
-
On the evolution of user interaction in Face-book
-
B. Viswanath, A. Mislove, M. Cha, and K. P. Gum-madi. On the evolution of user interaction in Face-book. In Proceedings ofthe 2nd ACM Workshop on Online Social Networks, pages 37-42, 2009.
-
(2009)
Proceedings Ofthe 2nd ACM Workshop on Online Social Networks
, pp. 37-42
-
-
Viswanath, B.1
Mislove, A.2
Cha, M.3
Gum-Madi, K.P.4
-
19
-
-
79960461257
-
A state-space mixed membership blockmodel for dynamic network tomography
-
E. P. Xing, W. Fu, and L. Song. A state-space mixed membership blockmodel for dynamic network tomography. The Annals of Applied Statistics, 4(2): 535-566, 2010.
-
(2010)
The Annals of Applied Statistics
, vol.4
, Issue.2
, pp. 535-566
-
-
Xing, E.P.1
Fu, W.2
Song, L.3
-
20
-
-
84904649838
-
Dynamic stochastic block-models for time-evolving social networks
-
K. S. Xu and A. O. Hero III. Dynamic stochastic block-models for time-evolving social networks. IEEE Journal of Selected Topics in Signal Processing, 8 (4):552-562, 2014.
-
(2014)
IEEE Journal of Selected Topics in Signal Processing
, vol.8
, Issue.4
, pp. 552-562
-
-
Xu, K.S.1
Hero, A.O.2
-
21
-
-
79851513504
-
Detecting communities and their evolutions in dynamic social networks-A Bayesian approach
-
T. Yang, Y. Chi, S. Zhu, Y. Gong, and R. Jin. Detecting communities and their evolutions in dynamic social networks-a Bayesian approach. Machine Learning, 82(2):157-189, 2011.
-
(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
|