{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T01:36:44Z","timestamp":1774834604877,"version":"3.50.1"},"reference-count":36,"publisher":"Informa UK Limited","issue":"3","funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2015561"],"award-info":[{"award-number":["DMS-2015561"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1934986"],"award-info":[{"award-number":["CCF-1934986"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2413610"],"award-info":[{"award-number":["DMS-2413610"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2413327"],"award-info":[{"award-number":["DMS-2413327"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational and Graphical Statistics"],"published-print":{"date-parts":[[2025,7,3]]},"DOI":"10.1080\/10618600.2024.2432974","type":"journal-article","created":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T15:51:29Z","timestamp":1732549889000},"page":"1127-1139","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":4,"title":["Scalable Estimation and Two-Sample Testing for Large Networks via Subsampling"],"prefix":"10.1080","volume":"34","author":[{"given":"Kaustav","family":"Chakraborty","sequence":"first","affiliation":[{"name":"Department of Statistics, University of Illinois at Urbana-Champaign","place":["Champaign"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6889-8599","authenticated-orcid":false,"given":"Srijan","family":"Sengupta","sequence":"additional","affiliation":[{"name":"Department of Statistics, North Carolina State University","place":["Raleigh"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7148-1823","authenticated-orcid":false,"given":"Yuguo","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Illinois at Urbana-Champaign","place":["Champaign"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2025,1,27]]},"reference":[{"key":"e_1_3_3_2_1","unstructured":"Bhadra S. Chakraborty K. Sengupta S. and Lahiri S. (2019) \u201cA Bootstrap-based Inference Framework for Testing Similarity of Paired Networks \u201d arXiv preprint arXiv:1911.06869."},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1338"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12079-4_43"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-61523-z"},{"key":"e_1_3_3_6_1","volume-title":"Advances in Neural Information Processing Systems","author":"Dhillon P.","year":"2013","unstructured":"Dhillon, P., Lu, Y., Foster, D. P., and Ungar, L. (2013), \u201cNew Subsampling Algorithms for Fast Least Squares Regression,\u201d in Advances in Neural Information Processing Systems (Vol. 26)."},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139941907"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.5486\/PMD.1959.6.3-4.12"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/0962280206079046"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1985.10477129"},{"key":"e_1_3_3_11_1","unstructured":"Ghoshdastidar D. Gutzeit M. Carpentier A. and von Luxburg U. (2017a) \u201cTwo-Sample Hypothesis Testing for Inhomogeneous Random Graphs \u201d arXiv preprint arXiv:1707.00833."},{"key":"e_1_3_3_12_1","first-page":"954","volume-title":"Proceedings of the 2017 Conference on Learning Theory","volume":"65","author":"Ghoshdastidar D.","year":"2017","unstructured":"Ghoshdastidar, D., Gutzeit, M., Carpentier, A., and von Luxburg, U. (2017b), \u201cTwo-Sample Tests for Large Random Graphs Using Network Statistics,\u201d in Proceedings of the 2017 Conference on Learning Theory, vol. 65 of Proceedings of Machine Learning Research, eds. S. Kale and O. Shamir, PMLR, pp. 954\u2013977."},{"key":"e_1_3_3_13_1","first-page":"3019","volume-title":"Advances in Neural Information Processing Systems","author":"Ghoshdastidar D.","year":"2018","unstructured":"Ghoshdastidar, D., and von Luxburg, U. (2018), \u201cPractical Methods for Graph Two-Sample Testing,\u201d in Advances in Neural Information Processing Systems, pp. 3019\u20133028."},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.6082"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000005"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1214\/23-AOS2282"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214502388618906"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(83)90021-7"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-88146-1"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/gm441"},{"key":"e_1_3_3_22_1","unstructured":"Levin K. and Levina E. (2019) \u201cBootstrapping Networks with Latent Space Structure \u201d arXiv preprint arXiv:1907.10821."},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asac032"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2016.2634322"},{"key":"e_1_3_3_25_1","first-page":"60","article-title":"\u201cThe Small World Problem,\u201d","volume":"2","author":"Milgram S.","year":"1967","unstructured":"Milgram, S. (1967), \u201cThe Small World Problem,\u201d Psychology Today, 2, 60\u201367.","journal-title":"Psychology Today"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2100482118"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2013.01.023"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12509"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12245"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.699795"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2016.1193505"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.3150\/15-BEJ789"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asaa043"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1292914"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2023.2282644"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77004-6_11"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1214\/12-AOS1036"}],"container-title":["Journal of Computational and Graphical Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10618600.2024.2432974","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T20:27:47Z","timestamp":1756153667000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2024.2432974"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,27]]},"references-count":36,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,7,3]]}},"alternative-id":["10.1080\/10618600.2024.2432974"],"URL":"https:\/\/doi.org\/10.1080\/10618600.2024.2432974","relation":{},"ISSN":["1061-8600","1537-2715"],"issn-type":[{"value":"1061-8600","type":"print"},{"value":"1537-2715","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,27]]},"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":"2023-10-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-18","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}