{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T11:25:30Z","timestamp":1722943530796},"reference-count":24,"publisher":"Engineering and Technology Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["jcm"],"published-print":{"date-parts":[[2015]]},"DOI":"10.12720\/jcm.10.6.442-449","type":"journal-article","created":{"date-parts":[[2016,1,7]],"date-time":"2016-01-07T05:52:02Z","timestamp":1452145922000},"source":"Crossref","is-referenced-by-count":1,"title":["Weighted Infinite Relational Model for Network Data"],"prefix":"10.12720","author":[{"name":"Institute of Automation, University of Chinese Academy of Sciences, Beijing 100190, PR China","sequence":"first","affiliation":[]},{"given":"Xiaojuan","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Wensheng","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"4977","published-online":{"date-parts":[[2015]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/bfb0099421"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.100.258701"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753208735"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.67.026126"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.90.012805"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003374"},{"key":"ref9","first-page":"33","article-title":"Mixed membership stochastic block models","author":"Airoldi","year":"2009","unstructured":"[9] E. M. Airoldi, D. M. Blei, S. E. Fienberg, and E. P. Xing, \"Mixed membership stochastic block models,\" in Advances in Neural Information Processing Systems, 2009, pp. 33-40.","journal-title":"Adv Neural Inf Process Syst","ISSN":"http:\/\/id.crossref.org\/issn\/1049-5258","issn-type":"print"},{"key":"ref10","article-title":"Learning latent block structure in weighted networks","author":"Aicher","year":"2014","unstructured":"[10] C. Aicher, A. Z. Jacobs, and A. Clauset, \"Learning latent block structure in weighted networks,\" Journal of Complex Networks, 2014.","journal-title":"J Complex Netw","ISSN":"http:\/\/id.crossref.org\/issn\/2051-1310","issn-type":"print"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOAS361"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.110.148701"},{"key":"ref13","article-title":"Learning systems of concepts with an infinite relational model","volume-title":"Proc AAAI","author":"Kemp","year":"2006","unstructured":"[14] C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, and N. Ueda, \"Learning systems of concepts with an infinite relational model,\" in Proc. AAAI, 2006."},{"key":"ref14","article-title":"Infinite hidden relational models","volume-title":"Proc Twenty-Second Conference on Uncertainty in Artificial Intelligence","author":"Xu","year":"2006","unstructured":"[15] Z. Xu, V. Tresp, K. Yu, and H. P. Kriegel, \"Infinite hidden relational models,\" in Proc. Twenty-Second Conference on Uncertainty in Artificial Intelligence, 2006."},{"key":"ref15","volume-title":"Pattern Recognition and Machine Learning","author":"Bishop","year":"2006","unstructured":"[16] C. M. Bishop, Pattern Recognition and Machine Learning, New York: Springer, 2006."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342360"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342871"},{"key":"ref18","first-page":"639","article-title":"A constructive definition of dirichlet priors","volume":"4","author":"Sethuraman","year":"1994","unstructured":"[20] J. Sethuraman, \"A constructive definition of dirichlet priors,\" Statistica Sinica, vol. 4, pp. 639-650, 1994.","journal-title":"Stat Sin","ISSN":"http:\/\/id.crossref.org\/issn\/1017-0405","issn-type":"print"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/06-BA104"},{"key":"ref20","first-page":"761","article-title":"Accelerated variational dirichlet process mixtures","author":"Kurihara","year":"2006","unstructured":"[23] K. Kurihara, M. Welling, and N. A. Vlassis, \"Accelerated variational dirichlet process mixtures,\" in Advances in Neural Information Processing Systems, 2006, pp. 761-768.","journal-title":"Adv Neural Inf Process Syst","ISSN":"http:\/\/id.crossref.org\/issn\/1049-5258","issn-type":"print"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1198\/1061860043001"},{"key":"ref22","first-page":"209","article-title":"A variational bayesian framework for graphical models","author":"Attias","year":"2000","unstructured":"[25] H. Attias, \"A variational bayesian framework for graphical models,\" in Advances in Neural Information Processing Systems, 2000, pp. 209-215.","journal-title":"Adv Neural Inf Process Syst","ISSN":"http:\/\/id.crossref.org\/issn\/1049-5258","issn-type":"print"},{"key":"ref23","volume-title":"World citation and collaboration networks","volume":"2","author":"Pan","year":"2012","unstructured":"[26] R. K. Pan, K. Kaski, and S. Fortunato, \"World citation and collaboration networks: uncovering the role of geography in science,\" Scientific Reports, vol. 2, 2012."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.socnet.2009.02.002"}],"container-title":["Journal of Communications"],"original-title":[],"link":[{"URL":"http:\/\/www.jocm.us\/uploadfile\/2015\/0629\/20150629031220315.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,2,4]],"date-time":"2017-02-04T02:20:05Z","timestamp":1486174805000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.jocm.us\/index.php?m=content&c=index&a=show&catid=147&id=824"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":24,"URL":"https:\/\/doi.org\/10.12720\/jcm.10.6.442-449","relation":{},"ISSN":["1796-2021"],"issn-type":[{"type":"print","value":"1796-2021"}],"subject":[],"published":{"date-parts":[[2015]]}}}