-
1
-
-
74049087026
-
Community detection in graphs
-
Fortunato, S. (2010) Community detection in graphs. Phys. Rep., 486, 75-174.
-
(2010)
Phys. Rep.
, vol.486
, pp. 75-174
-
-
Fortunato, S.1
-
2
-
-
0012864758
-
Stochastic blockmodels: first steps
-
Holland, P., Laskey, K. & Leinhardt, S. (1983) Stochastic blockmodels: first steps. Soc. Netw., 5, 109-137.
-
(1983)
Soc. Netw.
, vol.5
, pp. 109-137
-
-
Holland, P.1
Laskey, K.2
Leinhardt, S.3
-
3
-
-
0002736675
-
Stochastic blockmodels for directed graphs
-
Wang, Y. J. & Wong, G. Y. (1987) Stochastic blockmodels for directed graphs. J. Am. Stat. Assoc., 82, 8-19.
-
(1987)
J. Am. Stat. Assoc.
, vol.82
, pp. 8-19
-
-
Wang, Y.J.1
Wong, G.Y.2
-
4
-
-
0038752085
-
Mixing patterns in networks
-
Newman, M. E. J. (2003) Mixing patterns in networks. Phys. Rev. E, 67, 026126.
-
(2003)
Phys. Rev. E
, vol.67
, pp. 026126
-
-
Newman, M.E.J.1
-
6
-
-
43049151837
-
Hierarchical structure and the prediction of missing links in networks
-
Clauset, A., Moore, C. & Newman, M. E. J. (2008) Hierarchical structure and the prediction of missing links in networks. Nature, 453, 98-101.
-
(2008)
Nature
, vol.453
, pp. 98-101
-
-
Clauset, A.1
Moore, C.2
Newman, M.E.J.3
-
7
-
-
77649196314
-
Dynamic networks from hierarchical Bayesian graph clustering
-
Park, Y., Moore, C. & Bader, J. (2010) Dynamic networks from hierarchical Bayesian graph clustering. PLoS ONE, 5, e8118.
-
(2010)
PLoS ONE
, vol.5
, pp. e8118
-
-
Park, Y.1
Moore, C.2
Bader, J.3
-
8
-
-
79951710564
-
Stochastic blockmodels and community structure in networks
-
Karrer, B. & Newman, M. E. J. (2011) Stochastic blockmodels and community structure in networks. Phys. Rev. E, 83, 016107.
-
(2011)
Phys. Rev. E
, vol.83
, pp. 016107
-
-
Karrer, B.1
Newman, M.E.J.2
-
9
-
-
84907846754
-
Efficiently inferring community structure in bipartite networks
-
Pre-print, arXiv:1403.2933
-
Larremore, D. B., Clauset, A. & Jacobs, A. Z. (2014) Efficiently inferring community structure in bipartite networks. Pre-print, arXiv:1403.2933.
-
(2014)
-
-
Larremore, D.B.1
Clauset, A.2
Jacobs, A.Z.3
-
10
-
-
84892778654
-
A network inference method for large-scale unsupervised identification of novel drug-drug interactions
-
Guimerà, R. & Sales-Pardo, M. (2013) A network inference method for large-scale unsupervised identification of novel drug-drug interactions. PLoS Comput. Biol., 9, e1003374.
-
(2013)
PLoS Comput. Biol.
, vol.9
, pp. e1003374
-
-
Guimerà, R.1
Sales-Pardo, M.2
-
11
-
-
84875385659
-
Consistency of maximum-likelihood and variational estimators in the stochastic block model
-
Celisse, A., Daudin, J.-J. & Pierre, L. (2012) Consistency of maximum-likelihood and variational estimators in the stochastic block model. Electron. J. Stat., 6, 1847-1899.
-
(2012)
Electron. J. Stat.
, vol.6
, pp. 1847-1899
-
-
Celisse, A.1
Daudin, J.-J.2
Pierre, L.3
-
12
-
-
84855987681
-
New consistent and asymptotically normal parameter estimates for random-graph mixture models
-
Ambroise, C. & Matias, C. (2012) New consistent and asymptotically normal parameter estimates for random-graph mixture models. J. R. Stat. Soc. Ser. B, 74, 3-35.
-
(2012)
J. R. Stat. Soc. Ser. B
, vol.74
, pp. 3-35
-
-
Ambroise, C.1
Matias, C.2
-
13
-
-
78751706584
-
Parameter identifiability in a class of random graph mixture models
-
Allman, E. S., Matias, C. & Rhodes, J. A. (2011) Parameter identifiability in a class of random graph mixture models. J. Statist. Plann. Inference, 141, 1719-1736.
-
(2011)
J. Statist. Plann. Inference
, vol.141
, pp. 1719-1736
-
-
Allman, E.S.1
Matias, C.2
Rhodes, J.A.3
-
14
-
-
84875400043
-
Valued ties tell fewer lies: why not to dichotomize network edges with thresholds
-
Pre-print, arXiv:1101.0788
-
Thomas, A. C. & Blitzstein, J. K. (2011) Valued ties tell fewer lies: why not to dichotomize network edges with thresholds. Pre-print, arXiv:1101.0788.
-
(2011)
-
-
Thomas, A.C.1
Blitzstein, J.K.2
-
16
-
-
84898964031
-
A variational Bayesian framework for graphical models
-
MIT Press
-
Attias, H. (2000) A variational Bayesian framework for graphical models. Adv. Neural Info. Proc. Sys. 12. MIT Press, pp. 209-215.
-
(2000)
Adv. Neural Info. Proc. Sys. 12
, pp. 209-215
-
-
Attias, H.1
-
17
-
-
45749117949
-
Bayesian approach to network modularity
-
Hofman, J. & Wiggins, C. (2008) Bayesian approach to network modularity. Phys. Rev. Lett., 100, 258701.
-
(2008)
Phys. Rev. Lett.
, vol.100
, pp. 258701
-
-
Hofman, J.1
Wiggins, C.2
-
20
-
-
0001141391
-
On the development of reference priors
-
Berger, J. O. & Bernardo, J. M. (1992) On the development of reference priors. Bayesian statistics, 4, 35-60.
-
(1992)
Bayesian statistics
, vol.4
, pp. 35-60
-
-
Berger, J.O.1
Bernardo, J.M.2
-
21
-
-
0141695638
-
Understanding belief propagation and its generalizations
-
Yedidia, J., Freeman, W. & Weiss, Y. (2003) Understanding belief propagation and its generalizations. Explor. Artif. Intell. Millenn., 8, 236-239.
-
(2003)
Explor. Artif. Intell. Millenn.
, vol.8
, pp. 236-239
-
-
Yedidia, J.1
Freeman, W.2
Weiss, Y.3
-
22
-
-
79961105970
-
Inference and phase transitions in the detection of modules in sparse networks
-
Decelle, A., Krzakala, F., Moore, C. & Zdeborová, L. (2011) Inference and phase transitions in the detection of modules in sparse networks. Phys. Rev. Lett., 107, 65701.
-
(2011)
Phys. Rev. Lett.
, vol.107
, pp. 65701
-
-
Decelle, A.1
Krzakala, F.2
Moore, C.3
Zdeborová, L.4
-
23
-
-
84930962086
-
Model selection for degree-corrected block models
-
Pre-print, arXiv:1207.3994
-
Yan, X., Jensen, J. E., Krzakala, F., Moore, C., Shalizi, C. R., Zdeborová, L., Zhang, P. & Zhu, Y. (2012) Model selection for degree-corrected block models. Pre-print, arXiv:1207.3994.
-
(2012)
-
-
Yan, X.1
Jensen, J.E.2
Krzakala, F.3
Moore, C.4
Shalizi, C.R.5
Zdeborová, L.6
Zhang, P.7
Zhu, Y.8
-
24
-
-
84875974381
-
Parsimonious module inference in large networks
-
Peixoto, T. (2013) Parsimonious module inference in large networks. Phys. Rev. Lett., 110, 148701.
-
(2013)
Phys. Rev. Lett.
, vol.110
, pp. 148701
-
-
Peixoto, T.1
-
25
-
-
84921280816
-
Model selection and clustering in stochastic block models with the exact integrated complete data likelihood
-
Pre-print, arXiv:1303.2962
-
Côme, E. & Latouche, P. (2013) Model selection and clustering in stochastic block models with the exact integrated complete data likelihood. Pre-print, arXiv:1303.2962.
-
(2013)
-
-
Côme, E.1
Latouche, P.2
-
26
-
-
84961300066
-
-
Copyright 2014
-
STATS LCC (2014) . Copyright 2014.
-
(2014)
-
-
-
27
-
-
84930940517
-
Scoring dynamics across professional team sports: tempo, balance and predictability
-
Merritt, S. & Clauset, A. (2014) Scoring dynamics across professional team sports: tempo, balance and predictability. EPJ Data Sci., 3, 4.
-
(2014)
EPJ Data Sci.
, vol.3
, pp. 4
-
-
Merritt, S.1
Clauset, A.2
-
28
-
-
76049100050
-
Missing and spurious interactions and the reconstruction of complex networks
-
Guimerà, R. & Sales-Pardo, M. (2009) Missing and spurious interactions and the reconstruction of complex networks. Proc. Natl. Acad. Sci. USA, 106, 22073-22078.
-
(2009)
Proc. Natl. Acad. Sci. USA
, vol.106
, pp. 22073-22078
-
-
Guimerà, R.1
Sales-Pardo, M.2
-
29
-
-
38149091819
-
-
Lecture Notes in Computer Science, Heidelberg, Berlin: Springer
-
Clauset, A.,Moore, C. & Newman, M. E. (2007) Structural Inference of Hierarchies in Networks. Lecture Notes in Computer Science, vol. 4503. Heidelberg, Berlin: Springer, pp. 1-13.
-
(2007)
Structural Inference of Hierarchies in Networks
, vol.4503
, pp. 1-13
-
-
Clauset, A.1
Moore, C.2
Newman, M.E.3
-
30
-
-
34047175259
-
Reaction diffusion processes and metapopulation models in heterogeneous networks
-
Colizza, V., Pastor-Satorras, R. & Vespignani, A. (2007) Reaction diffusion processes and metapopulation models in heterogeneous networks. Nat. Phys., 3, 276-282.
-
(2007)
Nat. Phys.
, vol.3
, pp. 276-282
-
-
Colizza, V.1
Pastor-Satorras, R.2
Vespignani, A.3
-
31
-
-
84870854956
-
World citation and collaboration networks: uncovering the role of geography in science
-
Pan, R. K., Kaski, K. & Fortunato, S. (2012) World citation and collaboration networks: uncovering the role of geography in science. Sci. Rep., 2, 902.
-
(2012)
Sci. Rep.
, vol.2
, pp. 902
-
-
Pan, R.K.1
Kaski, K.2
Fortunato, S.3
-
32
-
-
18844385466
-
A network analysis of committees in the United States House of Representatives
-
Porter, M. A.,Mucha, P. J., Newman,M. &Warmbrand, C.M. (2005) A network analysis of committees in the United States House of Representatives. Proc. Natl. Acad. Sci. USA, 102, 7057-7062.
-
(2005)
Proc. Natl. Acad. Sci. USA
, vol.102
, pp. 7057-7062
-
-
Porter, M.A.1
Mucha, P.J.2
Newman, M.3
Warmbrand, C.M.4
-
33
-
-
62549129576
-
Clustering in weighted networks
-
Opsahl, T. & Panzarasa, P. (2009) Clustering in weighted networks. Soc. Netw., 31, 155-163.
-
(2009)
Soc. Netw.
, vol.31
, pp. 155-163
-
-
Opsahl, T.1
Panzarasa, P.2
-
34
-
-
84900331710
-
Hierarchical block structures and high-resolution model selection in large networks
-
Peixoto, T. (2014) Hierarchical block structures and high-resolution model selection in large networks. Phys. Rev. X, 4, 011047.
-
(2014)
Phys. Rev. X
, vol.4
, pp. 011047
-
-
Peixoto, T.1
-
35
-
-
54249110594
-
Mixed membership stochastic blockmodels
-
Airoldi, E. M., Blei, D. M., Fienberg, S. E. & Xing, E. P. (2008) Mixed membership stochastic blockmodels. J. Mach. Learn. Res., 9, 1981-2014.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1981-2014
-
-
Airoldi, E.M.1
Blei, D.M.2
Fienberg, S.E.3
Xing, E.P.4
-
36
-
-
84920284569
-
Detecting change points in the large-scale structure of evolving networks
-
Pre-print, arXiv:1403.0989
-
Peel, L. & Clauset, A. (2014) Detecting change points in the large-scale structure of evolving networks. Pre-print, arXiv:1403.0989.
-
(2014)
-
-
Peel, L.1
Clauset, A.2
-
37
-
-
84871885977
-
Comparative study for inference of hidden classes in stochastic block models
-
Zhang, P., Krzakala, F., Reichardt, J. & Zdeborová, L. (2012) Comparative study for inference of hidden classes in stochastic block models. J. Stat. Mech., 2012, P12021.
-
(2012)
J. Stat. Mech.
, vol.2012
, pp. P12021
-
-
Zhang, P.1
Krzakala, F.2
Reichardt, J.3
Zdeborová, L.4
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