Fetching the paper…
Reading the bibliography…
Reliably learning group structures among nodes in network data is challenging in several applications.
[author] Rohe, KarlK., Chatterjee, SouravS. and Yu, BinB. (2011). Spectral clustering and the high-dimensional stochastic blockmodel. The Annals of Statistics 39 1878–1915
1915
Earlier work this paper cites.
[author] Bickel, PeterP., Choi, DavidD., Chang, XiangyuX. and Zhang, HaiH. (2013). Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels. The Annals of Statistics 41 1922–1943
1943
Earlier work this paper cites.
[author] Holland, Paul W.P. W., Laskey, Kathryn BlackmondK. B. and Leinhardt, SamuelS. (1983). Stochastic blockmodels: First steps. Social Networks 5 109–137
1983
Earlier work this paper cites.
[author] Hartigan, J. A.J. A. (1990). Partition models. Communications in Statistics - Theory and Methods 19 2745–2756
1990
Earlier work this paper cites.
[author] Fruchterman, Thomas MJT. M. and Reingold, Edward ME. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience 21 1129–1164
1991
Earlier work this paper cites.
[author] Kass, Robert ER. E. and Raftery, Adrian EA. E. (1995). Bayes factors. Journal of the American Statistical Association 90 773–795
1995
Earlier work this paper cites.
[author] Nowicki, KrzysztofK. and Snijders, Tom A. BT. A. B. (2001). Estimation and prediction for stochastic blockstructures. Journal of the American Statistical Association 96 1077–1087
2001
Earlier work this paper cites.
[author] Carley, Kathleen MK. M., Lee, Ju-SungJ.-S. and Krackhardt, DavidD. (2002). Destabilizing networks. Connections 24 79–92
2002
Earlier work this paper cites.
[author] Girvan, MichelleM. and Newman, Mark EJM. E. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences 99 7821–7826
2002
Earlier work this paper cites.
[author] Krebs, Valdis EV. E. (2002). Mapping networks of terrorist cells. Connections 24 43–52
2002
Earlier work this paper cites.
2002
Earlier work this paper cites.
[author] Spiegelhalter, David JD. J., Best, Nicola GN. G., Carlin, Bradley PB. P. and Van Der Linde, AngelikaA. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B 64 583–639
2002
Earlier work this paper cites.
[author] Quintana, Fernando A.F. A. and Iglesias, Pilar L.P. L. (2003). Bayesian clustering and product partition models. Journal of the Royal Statistical Society. Series B 65 557–574
2003
Earlier work this paper cites.
[author] Newman, M. E. J.M. E. J. and Girvan, M.M. (2004). Finding and evaluating community structure in networks. Physical Review E 69 026113
2004
Earlier work this paper cites.
[author] Tallberg, ChristianC. (2004). A Bayesian approach to modeling stochastic blockstructures with covariates. Journal of Mathematical Sociology 29 1–23
2004
Earlier work this paper cites.
[author] Gnedin, A.A. and Pitman, JimJ. (2005). Exchangeable Gibbs partitions and Stirling triangles. Zapiski Nauchnykh Seminarov, POMI 325 83–102
2005
Earlier work this paper cites.
[author] Newman, Mark EJM. E. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences 103 8577–8582
2006
Earlier work this paper cites.
[author] Handcock, Mark SM. S., Raftery, Adrian EA. E. and Tantrum, Jeremy MJ. M. (2007). Model-based clustering for social networks. Journal of the Royal Statistical Society: Series A 170 301–354
2007
Earlier work this paper cites.
[author] Meilă, MarinaM. (2007). Comparing clusterings — an information based distance. Journal of Multivariate Analysis 98 873–895
2007
Earlier work this paper cites.
[author] Morselli, CarloC., Giguère, CynthiaC. and Petit, KatiaK. (2007). The efficiency/security trade-off in criminal networks. Social Networks 29 143–153
2007
Earlier work this paper cites.
[author] Paoli, LetiziaL. (2007). Mafia and organised crime in Italy: The unacknowledged successes of law enforcement. West European Politics 30 854–880
2007
Earlier work this paper cites.
[author] Raftery, Adrian EA. E., Newton, Michael AM. A., Satagopan, Jaya MJ. M. and Krivitsky, Pavel NP. N. (2007). Estimating the integrated likelihood via posterior simulation using the harmonic mean identity. Bayesian Statistics 8 1–45
2007
Earlier work this paper cites.
[author] Von Luxburg, UlrikeU. (2007). A tutorial on spectral clustering. Statistics and Computing 17 395–416
2007
Earlier work this paper cites.
[author] Blondel, Vincent DV. D., Guillaume, Jean LoupJ. L., Lambiotte, RenaudR. and Lefebvre, EtienneE. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics 10 P10008
2008
Earlier work this paper cites.
[author] Lijoi, AntonioA., Prünster, IgorI. and Walker, Stephen GS. G. (2008). Bayesian nonparametric estimators derived from conditional Gibbs structures. The Annals of Applied Probability 18 1519–1547
2008
Earlier work this paper cites.
[author] Lenk, PeterP. (2009). Simulation pseudo–bias correction to the harmonic mean estimator of integrated likelihoods. Journal of Computational and Graphical Statistics 18 941–960
2009
Earlier work this paper cites.
[author] Morselli, CarloC. (2009). Hells Angels in springtime. Trends in Organized Crime 12 145–158
2009
Earlier work this paper cites.
[author] Gnedin, AlexanderA. (2010). Species sampling model with finitely many types. Electronic Communications in Probability 15 79–88
2010
Earlier work this paper cites.
[author] Gormley, Isobel ClaireI. C. and Murphy, Thomas BrendanT. B. (2010). A mixture of experts latent position cluster model for social network data. Statistical Methodology 7 385–405
2010
Earlier work this paper cites.
[author] Park, Author Ju-hyunA. J.-h. and Dunson, David BD. B. (2010). Bayesian generalized product partition model. Statistica Sinica 20 1203–1226
2010
Earlier work this paper cites.
[author] Watanabe, SumioS. (2010). Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. Journal of Machine Learning Research 11 3571–3594
2010
Cited alongside, same era.
[author] Karrer, BrianB. and Newman, Mark EJM. E. (2011). Stochastic blockmodels and community structure in networks. Physical Review E 83 1–11
2011
Cited alongside, same era.
[author] Malm, AiliA. and Bichler, GiselaG. (2011). Networks of collaborating criminals: Assessing the structural vulnerability of drug markets. Journal of Research in Crime and Delinquency 48 271–297
2011
Cited alongside, same era.
[author] Müller, PeterP., Quintana, FernandoF. and Rosner, Gary LG. L. (2011). A product partition model with regression on covariates. Journal of Computational and Graphical Statistics 20 260–278
2011
Cited alongside, same era.
[author] Athreya, AvantiA., Fishkind, Donniell ED. E., Tang, MinhM., Priebe, Carey EC. E., Park, YoungserY., Vogelstein, Joshua TJ. T., Levin, KeithK., Lyzinski, VinceV. and Qin, YichenY. (2017). Statistical inference on random dot product graphs: A survey. Journal of Machine Learning Research 18 8393–8484
2017
Later among the works it cites.
[author] Binkiewicz, NorbertN., Vogelstein, Joshua TJ. T. and Rohe, KarlK. (2017). Covariate-assisted spectral clustering. Biometrika 104 361–377
2017
Later among the works it cites.
[author] Calderoni, FrancescoF., Brunetto, DomenicoD. and Piccardi, CarloC. (2017). Communities in criminal networks: A case study. Social Networks 48 116–125
2017
Later among the works it cites.
[author] Pajor, AnnaA. (2017). Estimating the marginal likelihood using the arithmetic mean identity. Bayesian Analysis 12 261–287
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
[author] Le, VyV. (2012). Organised crime typologies: Structure, activities and conditions. International Journal of Criminology and Sociology 1 121–131
2012
Cited alongside, same era.
[author] Sussman, Daniel LD. L., Tang, MinhM., Fishkind, Donniell ED. E. and Priebe, Carey EC. E. (2012). A consistent adjacency spectral embedding for stochastic blockmodel graphs. Journal of the American Statistical Association 107 1119–1128
2012
Cited alongside, same era.
[author] Zhao, YunpengY., Levina, ElizavetaE. and Zhu, JiJ. (2012). Consistency of community detection in networks under degree–corrected stochastic block models. The Annals of Statistics 40 2266–2292
2012
Cited alongside, same era.
[author] De Blasi, PierpaoloP., Lijoi, AntonioA. and Prünster, IgorI. (2013). An asymptotic analysis of a class of discrete nonparametric priors. Statistica Sinica 23 1299–1321
2013
Cited alongside, same era.
[author] Schmidt, Mikkel NM. N. and Morup, MortenM. (2013). Nonparametric Bayesian modeling of complex networks: An introduction. IEEE Signal Processing Magazine 30 110–128
2013
Cited alongside, same era.
[author] Watanabe, SumioS. (2013). A widely applicable Bayesian information criterion. Journal of Machine Learning Research 14 867–897
2013
Cited alongside, same era.
[author] Airoldi, Edoardo M.E. M., Blei, David M.D. M., Fienberg, Stephen E.S. E. and Xing, Eric P.E. P. (2008). Mixed membership stochastic blockmodels. Journal of Machine Learning Research 9 1981–2014
2014
Cited alongside, same era.
Calderoni, F
2014
Cited alongside, same era.
[author] Saldana, D FrancoD. F., Yu, YiY. and Feng, YangY. (2017). How many communities are there? Journal of Computational and Graphical Statistics 26 171–181
2017
Later among the works it cites.
[author] Wang, YX RachelY. R. and Bickel, Peter JP. J. (2017). Likelihood-based model selection for stochastic block models. The Annals of Statistics 45 500–528
2017
Later among the works it cites.
[author] Chen, KehuiK. and Lei, JingJ. (2018). Network cross-validation for determining the number of communities in network data. Journal of the American Statistical Association 113 241–251
2018
Later among the works it cites.
[author] Liu, FuchenF., Choi, DavidD., Xie, LuL. and Roeder, KathrynK. (2018). Global spectral clustering in dynamic networks. Proceedings of the National Academy of Sciences 115 927–932
2018
Later among the works it cites.
[author] Miller, Jeffrey WJ. W. and Harrison, Matthew TM. T. (2018). Mixture models with a prior on the number of components. Journal of the American Statistical Association 113 340–356
2018
Later among the works it cites.
[author] Rastelli, RiccardoR., Latouche, PierreP. and Friel, NialN. (2018). Choosing the number of groups in a latent stochastic blockmodel for dynamic networks. Network Science 6 469–493
2018
Later among the works it cites.
[author] Sengupta, SrijanS. and Chen, YuguoY. (2018). A block model for node popularity in networks with community structure. Journal of the Royal Statistical Society: Series B 80 365–386
2018
Later among the works it cites.
[author] Wade, SaraS. and Ghahramani, ZoubinZ. (2018). Bayesian cluster analysis: Point estimation and credible balls. Bayesian Analysis 13 559–626
2018
Later among the works it cites.
[author] Wang, Yu-BoY.-B., Chen, Ming-HuiM.-H., Kuo, LynnL. and Lewis, Paul OP. O. (2018). A new Monte Carlo method for estimating marginal likelihoods. Bayesian Analysis 13 311–333
2018
Later among the works it cites.
[author] Diviák, TomášT. (2019). Key aspects of covert networks data collection: Problems, challenges, and opportunities. Social Networks In press
2019
Later among the works it cites.
[author] Faust, KatherineK. and Tita, George EG. E. (2019). Social networks and crime: Pitfalls and promises for advancing the field. Annual Review of Criminology 2 99–122
2019
Later among the works it cites.
[author] Fosdick, Bailey KB. K., McCormick, Tyler HT. H., Murphy, Thomas BrendanT. B., Ng, Tin Lok JamesT. L. J. and Westling, TedT. (2019). Multiresolution network models. Journal of Computational and Graphical Statistics 28 185–196
2019
Later among the works it cites.
[author] Geng, JunxianJ., Bhattacharya, AnirbanA. and Pati, DebdeepD. (2019). Probabilistic community detection with unknown number of communities. Journal of the American Statistical Association 114 893–905
2019
Later among the works it cites.
[author] Grassi, RosannaR., Calderoni, FF., Bianchi, MonicaM. and Torriero, AnnaA. (2019). Betweenness to assess leaders in criminal networks: New evidence using the dual projection approach. Social Networks 56 23–32
2019
Later among the works it cites.
[author] Lee, ClementC. and Wilkinson, Darren JD. J. (2019). A review of stochastic block models and extensions for graph clustering. Applied Network Science 4 1–50
2019
Later among the works it cites.
[author] Stanley, NatalieN., Bonacci, ThomasT., Kwitt, RolandR., Niethammer, MarcM. and Mucha, Peter JP. J. (2019). Stochastic block models with multiple continuous attributes. Applied Network Science 4 1–22
2019
Later among the works it cites.
[author] Zhou, ZhixinZ. and Amini, Arash AA. A. (2019). Analysis of spectral clustering algorithms for community detection: The general bipartite setting. Journal of Machine Learning Research 20 47–1
2019
Later among the works it cites.
[author] Campana, PaoloP. and Varese, FedericoF. (2020). Studying organized crime networks: Data sources, boundaries and the limits of structural measures. Social Networks In press
2020
Closest in time.
[author] Cavallaro, LuciaL., Ficara, AnnamariaA., De Meo, PasqualeP., Fiumara, GiacomoG., Catanese, SalvatoreS., Bagdasar, OvidiuO., Song, WeiW. and Liotta, AntonioA. (2020). Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia. Plos One 15 1–22
2020
Closest in time.
[author] Legramanti, S.S., Rigon, T.T. and Durante, D.D. (2020). Bayesian testing for exogenous partition structures in stochastic block models. Sankhya A In press
2020
Closest in time.
[author] Li, TianxiT., Levina, ElizavetaE. and Zhu, JiJ. (2020). Network cross-validation by edge sampling. Biometrika 107 257–276
2020
Closest in time.
[author] Ranciati, SaverioS., Vinciotti, VeronicaV. and Wit, Ernst CE. C. (2020). Identifying overlapping terrorist cells from the Noordin Top actor–event network. The Annals of Applied Statistics 14 1516–1534
2020
Closest in time.
[author] Sangkaran, TheyvaaT., Abdullah, AzweenA. and Jhanjhi, NZN. (2020). Criminal community detection based on isomorphic subgraph analytics. Open Computer Science 10 164–174
2020
Closest in time.
[author] Côme, EtienneE., Jouvin, NicolasN., Latouche, PierreP. and Bouveyron, CharlesC. (2021). Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Advances in Data Analysis and Classification 15 957–986
2021
Closest in time.
[author] Amini, Arash AA. A., Chen, AiyouA., Bickel, Peter JP. J. and Levina, ElizavetaE. (2013). Pseudo-likelihood methods for community detection in large sparse networks. The Annals of Statistics 41 2097–2122
2097
Closest in time.