{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T08:45:23Z","timestamp":1772873123327,"version":"3.50.1"},"reference-count":63,"publisher":"Informa UK Limited","issue":"2","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational and Graphical Statistics"],"published-print":{"date-parts":[[2025,4,3]]},"DOI":"10.1080\/10618600.2024.2394464","type":"journal-article","created":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T09:23:20Z","timestamp":1724750600000},"page":"448-461","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":1,"title":["Co-Factor Analysis of Citation Networks"],"prefix":"10.1080","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4985-5160","authenticated-orcid":false,"given":"Alex","family":"Hayes","sequence":"first","affiliation":[{"name":"Department of Statistics, University of Wisconsin-Madison","place":["Madison"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Rohe","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Wisconsin-Madison","place":["Madison"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2024,10]]},"reference":[{"key":"e_1_3_3_2_1","first-page":"1981","article-title":"\u201cMixed Membership Stochastic Blockmodels,\u201d","volume":"9","author":"Airoldi E. M.","year":"2008","unstructured":"Airoldi, E. M., Blei, D. M., Fienberg, S. E., and Xing, E. P. (2008), \u201cMixed Membership Stochastic Blockmodels,\u201d Journal of Machine Learning Research, 9, 1981\u20132014.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345976"},{"key":"e_1_3_3_4_1","first-page":"1","article-title":"\u201cStatistical Inference on Random Dot Product Graphs: A Survey,\u201d","volume":"18","author":"Athreya A.","year":"2018","unstructured":"Athreya, A., Fishkind, D. E., Tang, M., Priebe, C. E., Park, Y., Vogelstein, J. T., Levin, K., Lyzinski, V., Qin, Y., and Sussman, D. L. (2018), \u201cStatistical Inference on Random Dot Product Graphs: A Survey,\u201d Journal of Machine Learning Research, 18, 1\u201392.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13171-015-0071-x"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1137\/04060593X"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0653-8"},{"key":"e_1_3_3_8_1","volume-title":"Proceedings of the 31st International Conference on Machine Learning","author":"Bhojanapalli S.","year":"2014","unstructured":"Bhojanapalli, S., and Jain, P. (2014), \u201cUniversal Matrix Completion,\u201d in Proceedings of the 31st International Conference on Machine Learning."},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4-5.993"},{"key":"e_1_3_3_10_1","volume-title":"34th Conference on Neural Information Processing Systems","author":"Chanpuriya S.","year":"2020","unstructured":"Chanpuriya, S., Tsourakakis, C. E., Musco, C., and Sotiropoulos, K. (2020), \u201cNode Embeddings and Exact Low-Rank Representations of Complex Networks,\u201d in 34th Conference on Neural Information Processing Systems, Vancouver, Canada."},{"key":"e_1_3_3_11_1","unstructured":"Chen F. (2021) \u201cSpectral Methods for Social Media Data Analysis \u201d Ph. D. thesis University of Wisconsin-Madison."},{"key":"e_1_3_3_12_1","first-page":"2213","article-title":"\u201cClustering Partially Observed Graphs via Convex Optimization,\u201d","volume":"15","author":"Chen Y.","year":"2014","unstructured":"Chen, Y., Jalali, A., Sanghavi, S., and Xu, H. (2014), \u201cClustering Partially Observed Graphs via Convex Optimization,\u201d Journal of Machine Learning Research, 15, 2213\u20132238.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2018.1518238"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOS1497"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1214\/13-AOS1173"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/979415"},{"key":"e_1_3_3_18_1","first-page":"2153","article-title":"\u201cOn the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning,\u201d","volume":"6","author":"Drineas P.","year":"2005","unstructured":"Drineas, P., and Mahoney, M. W. (2005), \u201cOn the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning,\u201d Journal of Machine Learning Research, 6, 2153\u20132175.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2020.3039308"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aaq1360"},{"key":"e_1_3_3_21_1","first-page":"1","article-title":"\u201cRevisiting the Nystrom Method for Improved Large-scale Machine Learning,\u201d","volume":"17","author":"Gittens A.","year":"2016","unstructured":"Gittens, A., and Mahoney, M. W. (2016), \u201cRevisiting the Nystrom Method for Improved Large-scale Machine Learning,\u201d Journal of Machine Learning Research, 17, 1\u201365.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0930-5"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.366"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2013.10.008"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2927624"},{"key":"e_1_3_3_26_1","first-page":"3367","article-title":"\u201cMatrix Completion and Low-Rank SVD via Fast Alternating Least Squares,\u201d","volume":"16","author":"Hastie T.","year":"2015","unstructured":"Hastie, T., Mazumder, R., Lee, J. D., and Zadeh, R. (2015),\u201cMatrix Completion and Low-Rank SVD via Fast Alternating Least Squares,\u201d Journal of Machine Learning Research, 16, 3367\u20133402.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1970.10488634"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(83)90021-7"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532926"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOAS896"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2021.1978469"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOS1265"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2022.12.003"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-033021-014043"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2242468"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.3150\/12-BEJ486"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.90.012805"},{"key":"e_1_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOS1274"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asaa006"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-EJS978"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2016.2634322"},{"key":"e_1_3_3_43_1","first-page":"2287","article-title":"\u201cSpectral Regularization Algorithms for Learning Large Incomplete Matrices,\u201d","volume":"11","author":"Mazumder R.","year":"2010","unstructured":"Mazumder, R., Hastie, T., and Tibshirani, R. (2010), \u201cSpectral Regularization Algorithms for Learning Large Incomplete Matrices,\u201d Journal of Machine Learning Research, 11, 2287\u20132322.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevX.8.041011"},{"key":"e_1_3_3_45_1","doi-asserted-by":"publisher","DOI":"10.1209\/epl\/i2005-10414-6"},{"key":"e_1_3_3_46_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.4630270505"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1814462116"},{"key":"e_1_3_3_48_1","unstructured":"Qing H. and Wang J. (2022) \u201cDirected Mixed Membership Stochastic Blockmodel \u201d arXiv:2101.02307."},{"key":"e_1_3_3_49_1","first-page":"1","article-title":"\u201cMatched Bipartite Block Model with Covariates,\u201d","volume":"20","author":"Razaee Z. S.","year":"2019","unstructured":"Razaee, Z. S., Amini, A. A., and Li, J. J. (2019), \u201cMatched Bipartite Block Model with Covariates,\u201d Journal of Machine Learning Research, 20, 1\u201344.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_50_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1525793113"},{"key":"e_1_3_3_51_1","doi-asserted-by":"publisher","DOI":"10.1093\/jrsssb\/qkad029"},{"key":"e_1_3_3_52_1","unstructured":"Selby D. A. (2020) Statistical Modelling of Citation Networks Research Influence and Journal Prestige Ph. D. thesis University of Warwick."},{"key":"e_1_3_3_53_1","first-page":"3401","article-title":"\u201cMatrix Completion with the Trace Norm: Learning, Bounding, and Transducing,\u201d","volume":"15","author":"Shamir O.","year":"2014","unstructured":"Shamir, O., and Shalev-Shwartz, S. (2014), \u201cMatrix Completion with the Trace Norm: Learning, Bounding, and Transducing,\u201d Journal of Machine Learning Research, 15, 3401\u20133423.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_54_1","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177010655"},{"key":"e_1_3_3_55_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_3_56_1","volume-title":"Advances in Neural Information Processing Systems","author":"Vinayak R. K.","year":"2014","unstructured":"Vinayak, R. K., Oymak, S., and Hassibi, B. (2014), \u201cGraph Clustering With Missing Data: Convex Algorithms and Analysis,\u201d in Advances in Neural Information Processing Systems."},{"key":"e_1_3_3_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"e_1_3_3_58_1","doi-asserted-by":"publisher","DOI":"10.1214\/13-AOS1151"},{"key":"e_1_3_3_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3005978"},{"key":"e_1_3_3_60_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.102.032309"},{"key":"e_1_3_3_61_1","doi-asserted-by":"publisher","DOI":"10.1137\/18M1202311"},{"key":"e_1_3_3_62_1","doi-asserted-by":"publisher","DOI":"10.1093\/jcmc\/zmab021"},{"key":"e_1_3_3_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3032984"},{"key":"e_1_3_3_64_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12550"}],"container-title":["Journal of Computational and Graphical Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10618600.2024.2394464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T16:10:21Z","timestamp":1772813421000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2024.2394464"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":63,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,4,3]]}},"alternative-id":["10.1080\/10618600.2024.2394464"],"URL":"https:\/\/doi.org\/10.1080\/10618600.2024.2394464","relation":{},"ISSN":["1061-8600","1537-2715"],"issn-type":[{"value":"1061-8600","type":"print"},{"value":"1537-2715","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-08-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-11","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}