{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T08:26:29Z","timestamp":1770107189134,"version":"3.49.0"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Natural Science Foundation of China Innovation Research Group Project","award":["62272311"],"award-info":[{"award-number":["62272311"]}]},{"name":"National Natural Science Foundation of China Innovation Research Group Project","award":["62102262"],"award-info":[{"award-number":["62102262"]}]},{"DOI":"10.13039\/501100001809","name":"Key Research Project of Shaoxing","doi-asserted-by":"publisher","award":["2025A11004"],"award-info":[{"award-number":["2025A11004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3654988","type":"journal-article","created":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T20:55:44Z","timestamp":1768856144000},"page":"14108-14125","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Community Detection in Mobile Communication Networks Using Deep Representation Learning and Gaussian Mixture Models"],"prefix":"10.1109","volume":"14","author":[{"given":"Xumin","family":"Zhao","sequence":"first","affiliation":[{"name":"Zhejiang Yuexiu University, Shaoxing, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fenghua","family":"Liu","sequence":"additional","affiliation":[{"name":"Huzhou University, Huzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"UCSI University, Kuala Lumpur, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6168-012X","authenticated-orcid":false,"given":"Zhiqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University of Science and Technology, Huzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01110-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnlssr.2024.05.005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2022.01.029"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111392"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e28725"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3155486"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3169421"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-024-00686-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852006"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00710-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-025-00801-3"},{"key":"ref12","first-page":"1","article-title":"Variational graph recurrent neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hajiramezanali"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/cjce.25650"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2025.113761"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2022.04.030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02389-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1108\/JSIT-02-2021-0024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-09340-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1108\/IJICC-07-2023-0188"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-024-01274-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.watres.2024.123071"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-50338-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2024.123383"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-025-66150-8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-024-06638-4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-5591-2_27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3718751.3718757"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.34133\/research.0847"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-79035-5_26"},{"key":"ref31","article-title":"DynGEM: Deep embedding method for dynamic graphs","author":"Goyal","year":"2018","journal-title":"arXiv:1805.11273"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11299"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11359099.pdf?arnumber=11359099","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:45:52Z","timestamp":1770065152000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11359099\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3654988","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}