{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T05:50:56Z","timestamp":1760248256932,"version":"3.37.3"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,9,15]],"date-time":"2018-09-15T00:00:00Z","timestamp":1536969600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s11222-018-9832-4","type":"journal-article","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T09:46:19Z","timestamp":1537091179000},"page":"677-695","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["The dynamic stochastic topic block model for dynamic networks with textual edges"],"prefix":"10.1007","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3328-9934","authenticated-orcid":false,"given":"Marco","family":"Corneli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Bouveyron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Latouche","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabrice","family":"Rossi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,15]]},"reference":[{"key":"9832_CR1","first-page":"1981","volume":"9","author":"E Airoldi","year":"2008","unstructured":"Airoldi, E., Blei, D., Fienberg, S., Xing, E.: Mixed membership stochastic blockmodels. J. Mach. Learn. Res. 9, 1981\u20132014 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"9832_CR2","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1991.tb01812.x","volume":"53","author":"M Aitkin","year":"1991","unstructured":"Aitkin, M.: Posterior Bayes factors (disc: p128\u2013142). J. R. Stat. Soc. Ser. B Methodol. 53, 111\u2013128 (1991)","journal-title":"J. R. Stat. Soc. Ser. B Methodol."},{"issue":"7","key":"9832_CR3","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1109\/34.865189","volume":"22","author":"C Biernacki","year":"2000","unstructured":"Biernacki, C., Celeux, G., Govaert, G.: Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans. Pattern Anal. Mach. Intell. 22(7), 719\u2013725 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"9832_CR4","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 113\u2013120. ACM (2006)","DOI":"10.1145\/1143844.1143859"},{"key":"9832_CR5","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003). http:\/\/dl.acm.org\/citation.cfm?id=944919.944937"},{"issue":"10","key":"9832_CR6","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel, V.D., Loup Guillaume, J., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008(10), P10008 (2008)","journal-title":"J. Stat. Mech. Theory Exp."},{"key":"9832_CR7","doi-asserted-by":"publisher","unstructured":"Bouveyron, C., Latouche, P., Zreik, R.: The stochastic topic block model for the clustering of vertices in networks with textual edges. Stat. Comput. (2016). https:\/\/doi.org\/10.1007\/s11222-016-9713-7 . https:\/\/hal.archives-ouvertes.fr\/hal-01299161","DOI":"10.1007\/s11222-016-9713-7"},{"key":"9832_CR8","unstructured":"Celeux, G., Govaert, G.: A classification EM algorithm for clustering and two stochastic versions. Research Report RR-1364, INRIA, (1991). https:\/\/hal.inria.fr\/inria-00075196 , projet CLOREC"},{"issue":"6","key":"9832_CR9","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1177\/1471082X15577017","volume":"15","author":"E C\u00f4me","year":"2015","unstructured":"C\u00f4me, E., Latouche, P.: Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood. Stat. Model. 15(6), 564\u2013589 (2015). https:\/\/doi.org\/10.1177\/1471082X15577017","journal-title":"Stat. Model."},{"key":"9832_CR10","doi-asserted-by":"publisher","unstructured":"Corneli, M., Latouche, P., Rossi, F.: Modelling time evolving interactions in networks through a non stationary extension of stochastic block models. In: Pei, J., Silvestri, F., Tang, J. (eds) International Conference on Advances in Social Networks Analysis and Mining ASONAM 2015, IEEE\/ACM, pp. 1590\u20131591. ACM, Paris, France (2015). https:\/\/doi.org\/10.1145\/2808797.2809348 . https:\/\/hal.archives-ouvertes.fr\/hal-01263540","DOI":"10.1145\/2808797.2809348"},{"issue":"1","key":"9832_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-016-0368-3","volume":"6","author":"M Corneli","year":"2016","unstructured":"Corneli, M., Latouche, P., Rossi, F.: Block modelling in dynamic networks with non-homogeneous poisson processes and exact ICL. Soc. Netw. Anal. Min. 6(1), 1\u201314 (2016a). https:\/\/doi.org\/10.1007\/s13278-016-0368-3","journal-title":"Soc. Netw. Anal. Min."},{"key":"9832_CR12","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.neucom.2016.02.031","volume":"192","author":"M Corneli","year":"2016","unstructured":"Corneli, M., Latouche, P., Rossi, F.: Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks. Neurocomputing 192, 81\u201391 (2016b). https:\/\/doi.org\/10.1016\/j.neucom.2016.02.031","journal-title":"Neurocomputing"},{"issue":"5","key":"9832_CR13","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s11222-017-9775-1","volume":"28","author":"M Corneli","year":"2018","unstructured":"Corneli, M., Latouche, P., Rossi, F.: Multiple change points detection and clustering in dynamic networks. Stat. Comput. 28(5), 989\u20131007 (2018)","journal-title":"Stat. Comput."},{"issue":"2","key":"9832_CR14","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s11222-007-9046-7","volume":"18","author":"JJ Daudin","year":"2008","unstructured":"Daudin, J.J., Picard, F., Robin, S.: A mixture model for random graphs. Stat. Comput. 18(2), 173\u2013183 (2008)","journal-title":"Stat. Comput."},{"issue":"4","key":"9832_CR15","doi-asserted-by":"publisher","first-page":"2203","DOI":"10.1214\/16-AOAS971","volume":"10","author":"D Durante","year":"2016","unstructured":"Durante, D., Dunson, D.B.: Locally adaptive dynamic networks. Ann. Appl. Stat. 10(4), 2203\u20132232 (2016)","journal-title":"Ann. Appl. Stat."},{"key":"9832_CR16","doi-asserted-by":"publisher","unstructured":"Friel, N., Rastelli, R., Wyse, J., Raftery, A.E.: Interlocking directorates in Irish companies using a latent space model for bipartite networks. Proc. Natl. Acad. Sci. 113(24), 6629\u20136634 (2016). https:\/\/doi.org\/10.1073\/pnas.1606295113 . http:\/\/www.pnas.org\/content\/113\/24\/6629.full.pdf","DOI":"10.1073\/pnas.1606295113"},{"key":"9832_CR17","doi-asserted-by":"publisher","unstructured":"Guigour\u00e8s, R., Boull\u00e9, M., Rossi, F.: A triclustering approach for time evolving graphs. In: IEEE 12th International Conference on Data Mining Workshops (ICDMW 2012) on Co-clustering and Applications, Brussels, Belgium, pp. 115\u2013122 (2012). https:\/\/doi.org\/10.1109\/ICDMW.2012.61","DOI":"10.1109\/ICDMW.2012.61"},{"key":"9832_CR18","doi-asserted-by":"publisher","unstructured":"Guigour\u00e8s, R., Boull\u00e9, M., Rossi, F.: Discovering patterns in time-varying graphs: a triclustering approach. In: Advances in Data Analysis and Classification, pp. 1\u201328 (2015). https:\/\/doi.org\/10.1007\/s11634-015-0218-6","DOI":"10.1007\/s11634-015-0218-6"},{"issue":"2","key":"9832_CR19","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1111\/j.1467-985X.2007.00471.x","volume":"170","author":"MS Handcock","year":"2007","unstructured":"Handcock, M.S., Raftery, A.E., Tantrum, J.M.: Model-based clustering for social networks. J. R. Stat. Soc. Ser. A (Stat. Soc.) 170(2), 301\u2013354 (2007)","journal-title":"J. R. Stat. Soc. Ser. A (Stat. Soc.)"},{"key":"9832_CR20","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1214\/09-EJS548","volume":"4","author":"S Hanneke","year":"2010","unstructured":"Hanneke, S., Fu, W., Xing, E.P.: Discrete temporal models of social networks. Electron. J. Stat. 4, 585\u2013605 (2010)","journal-title":"Electron. J. Stat."},{"issue":"460","key":"9832_CR21","doi-asserted-by":"publisher","first-page":"1090","DOI":"10.1198\/016214502388618906","volume":"97","author":"P Hoff","year":"2002","unstructured":"Hoff, P., Raftery, A., Handcock, M.: Latent space approaches to social network analysis. J. Am. Stat. Assoc. 97(460), 1090\u20131098 (2002)","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"9832_CR22","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1214\/13-AOAS691","volume":"8","author":"Y Jernite","year":"2014","unstructured":"Jernite, Y., Latouche, P., Bouveyron, C., Rivera, P., Jegou, L., Lamass\u00e9, S.: The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul. Ann. Appl. Stat. 8(1), 55\u201374 (2014)","journal-title":"Ann. Appl. Stat."},{"issue":"1","key":"9832_CR23","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1111\/rssb.12014","volume":"76","author":"PN Krivitsky","year":"2014","unstructured":"Krivitsky, P.N., Handcock, M.S.: A separable model for dynamic networks. J. R. Stat. Soc. Ser. B (Stat. Methodol.) 76(1), 29\u201346 (2014)","journal-title":"J. R. Stat. Soc. Ser. B (Stat. Methodol.)"},{"issue":"1","key":"9832_CR24","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1177\/1471082X1001200105","volume":"12","author":"P Latouche","year":"2012","unstructured":"Latouche, P., Birmel\u00e9, E., Ambroise, C.: Variational bayesian inference and complexity control for stochastic block models. Stat. Model. 12(1), 93\u2013115 (2012)","journal-title":"Stat. Model."},{"key":"9832_CR25","doi-asserted-by":"publisher","unstructured":"Liu, Y., Niculescu-Mizil, A., Gryc, W.: Topic-link LDA: joint models of topic and author community. In: Proceedings of the 26th Annual International Conference on Machine Learning, ICML \u201909, pp. 665\u2013672. ACM, New York, NY, USA (2009). https:\/\/doi.org\/10.1145\/1553374.1553460","DOI":"10.1145\/1553374.1553460"},{"issue":"4","key":"9832_CR26","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1111\/rssb.12200","volume":"79","author":"C Matias","year":"2017","unstructured":"Matias, C., Miele, V.: Statistical clustering of temporal networks through a dynamic stochastic block model. J. R. Stat. Soc. Ser. B 79(4), 1119\u20131141 (2017)","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"9832_CR27","first-page":"07075","volume":"1512","author":"C Matias","year":"2015","unstructured":"Matias, C., Rebafka, T., Villers, F.: Estimation and clustering in a semiparametric Poisson process stochastic block model for longitudinal networks. ArXiv e-prints 1512, 07075 (2015)","journal-title":"ArXiv e-prints"},{"key":"9832_CR28","unstructured":"McCallum, A., Corrada-Emmanuel, A., Wang, X.: The author-recipient-topic model for topic and role discovery in social networks. In: Workshop on Link Analysis, Counterterrorism and Security (2005)"},{"issue":"026","key":"9832_CR29","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1103\/PhysRevE.69.026113","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E 69(026), 113 (2004). https:\/\/doi.org\/10.1103\/PhysRevE.69.026113","journal-title":"Phys. Rev. E"},{"key":"9832_CR30","unstructured":"Nouedoui, L., Latouche, P.: Bayesian non parametric inference of discrete valued networks. In: 21-st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), pp. 291\u2013296. Bruges, Belgium (2013)"},{"issue":"455","key":"9832_CR31","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1198\/016214501753208735","volume":"96","author":"K Nowicki","year":"2001","unstructured":"Nowicki, K., Snijders, T.: Estimation and prediction for stochastic blockstructures. J. Am. Stat. Assoc. 96(455), 1077\u20131087 (2001)","journal-title":"J. Am. Stat. Assoc."},{"key":"9832_CR32","unstructured":"Pathak, N., DeLong, C., Banerjee, A., Erickson, K.: Social topic models for community extraction. In: The 2nd SNAKDD workshop, vol. 8, p. 2008 (2008)"},{"key":"9832_CR33","unstructured":"Peel, L., Clauset, A.: Detecting change points in the large-scale structure of evolving networks. (2014). CoRR abs\/1403.0989, arxiv:1403.0989"},{"issue":"336","key":"9832_CR34","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"WM Rand","year":"1971","unstructured":"Rand, W.M.: Objective criteria for the evaluation of clustering methods. J. Am. Stat. Assoc. 66(336), 846\u2013850 (1971)","journal-title":"J. Am. Stat. Assoc."},{"issue":"2","key":"9832_CR35","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.socnet.2006.08.002","volume":"29","author":"G Robins","year":"2007","unstructured":"Robins, G., Pattison, P., Kalish, Y., Lusher, D.: An introduction to exponential random graph (p*) models for social networks. Soc. Netw. 29(2), 173\u2013191 (2007)","journal-title":"Soc. Netw."},{"key":"9832_CR36","unstructured":"Rosen-Zvi, M., Griffiths, T., Steyvers, M., Smyth, P.: The author-topic model for authors and documents. In: Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, UAI \u201904, pp. 487\u2013494. AUAI Press, Arlington, VA, USA (2004). http:\/\/dl.acm.org\/citation.cfm?id=1036843.1036902"},{"key":"9832_CR37","doi-asserted-by":"publisher","unstructured":"Sachan, M., Contractor, D., Faruquie, T.A., Subramaniam, L.V.: Using content and interactions for discovering communities in social networks. In: Proceedings of the 21st International Conference on World Wide Web, WWW \u201912, pp. 331\u2013340. ACM, New York, NY, USA (2012). https:\/\/doi.org\/10.1145\/2187836.2187882","DOI":"10.1145\/2187836.2187882"},{"issue":"2","key":"9832_CR38","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1145\/1117454.1117459","volume":"7","author":"P Sarkar","year":"2005","unstructured":"Sarkar, P., Moore, A.W.: Dynamic social network analysis using latent space models. ACM SIGKDD Explor. Newsl. 7(2), 31\u201340 (2005)","journal-title":"ACM SIGKDD Explor. Newsl."},{"issue":"512","key":"9832_CR39","doi-asserted-by":"publisher","first-page":"1646","DOI":"10.1080\/01621459.2014.988214","volume":"110","author":"DK Sewell","year":"2015","unstructured":"Sewell, D.K., Chen, Y.: Latent space models for dynamic networks. J. Am. Stat. Assoc. 110(512), 1646\u20131657 (2015)","journal-title":"J. Am. Stat. Assoc."},{"key":"9832_CR40","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.socnet.2015.07.005","volume":"44","author":"DK Sewell","year":"2016","unstructured":"Sewell, D.K., Chen, Y.: Latent space models for dynamic networks with weighted edges. Soc. Netw. 44, 105\u2013116 (2016)","journal-title":"Soc. Netw."},{"key":"9832_CR41","doi-asserted-by":"publisher","unstructured":"Steyvers, M., Smyth, P., Rosen-Zvi, M., Griffiths, T.: Probabilistic author-topic models for information discovery. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u201904, pp. 306\u2013315. ACM, New York, NY, USA (2004). https:\/\/doi.org\/10.1145\/1014052.1014087","DOI":"10.1145\/1014052.1014087"},{"issue":"4","key":"9832_CR42","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Luxburg von","year":"2007","unstructured":"von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17(4), 395\u2013416 (2007). https:\/\/doi.org\/10.1007\/s11222-007-9033-z","journal-title":"Stat. Comput."},{"key":"9832_CR43","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1080\/01621459.1987.10478385","volume":"82","author":"Y Wang","year":"1987","unstructured":"Wang, Y., Wong, G.: Stochastic blockmodels for directed graphs. J. Am. Stat. Assoc. 82, 8\u201319 (1987)","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"9832_CR44","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1214\/aos\/1176346060","volume":"11","author":"CFJ Wu","year":"1983","unstructured":"Wu, C.F.J.: On the convergence properties of the EM algorithm. Ann. Statist. 11(1), 95\u2013103 (1983). https:\/\/doi.org\/10.1214\/aos\/1176346060","journal-title":"Ann. Statist."},{"key":"9832_CR45","volume-title":"Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science","author":"KS Xu","year":"2013","unstructured":"Xu, K.S., Hero III, A.O.: Dynamic stochastic blockmodels: statistical models for time-evolving networks. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds.) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol. 7812. Springer, Berlin (2013)"},{"issue":"2","key":"9832_CR46","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s10994-010-5214-7","volume":"82","author":"T Yang","year":"2011","unstructured":"Yang, T., Chi, Y., Zhu, S., Gong, Y., Jin, R.: Detecting communities and their evolutions in dynamic social networks a Bayesian approach. Mach. Learn. 82(2), 157\u2013189 (2011)","journal-title":"Mach. Learn."},{"key":"9832_CR47","doi-asserted-by":"publisher","unstructured":"Zhou, D., Manavoglu, E., Li, J., Giles, C.L., Zha, H.: Probabilistic models for discovering e-communities. In: Proceedings of the 15th International Conference on World Wide Web, WWW \u201906, pp. 173\u2013182. ACM, New York, NY, USA (2006). https:\/\/doi.org\/10.1145\/1135777.1135807","DOI":"10.1145\/1135777.1135807"},{"issue":"2","key":"9832_CR48","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/s00180-016-0655-5","volume":"32","author":"R Zreik","year":"2017","unstructured":"Zreik, R., Latouche, P., Bouveyron, C.: The dynamic random subgraph model for the clustering of evolving networks. Comput. Stat. 32(2), 501\u2013533 (2017)","journal-title":"Comput. Stat."}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-018-9832-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-018-9832-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-018-9832-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T10:59:01Z","timestamp":1720609141000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-018-9832-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,15]]},"references-count":48,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["9832"],"URL":"https:\/\/doi.org\/10.1007\/s11222-018-9832-4","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"type":"print","value":"0960-3174"},{"type":"electronic","value":"1573-1375"}],"subject":[],"published":{"date-parts":[[2018,9,15]]},"assertion":[{"value":"18 April 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 September 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}