{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T21:46:09Z","timestamp":1770068769418,"version":"3.49.0"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Taylor\u2019s Flagship Project","award":["TUFR\/2017\/004\/06"],"award-info":[{"award-number":["TUFR\/2017\/004\/06"]}]},{"name":"Centre for Research Management, Taylor\u2019s University, Malaysia"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2958873","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T21:16:28Z","timestamp":1576012588000},"page":"184797-184807","source":"Crossref","is-referenced-by-count":100,"title":["Link Prediction in Time-Evolving Criminal Network With Deep Reinforcement Learning Technique"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2790-3720","authenticated-orcid":false,"given":"Marcus","family":"Lim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4425-8604","authenticated-orcid":false,"given":"Azween","family":"Abdullah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N.Z.","family":"Jhanjhi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6636-0533","authenticated-orcid":false,"given":"Muhammad","family":"Khurram Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3734-0899","authenticated-orcid":false,"given":"Mahadevan","family":"Supramaniam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","author":"borgatti","year":"2002","journal-title":"UCINET 6 for Windows Software for Social Network Analysis"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/956863.956972"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622041"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/nature06830"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2007.108"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2007.52"},{"key":"ref16","article-title":"Temporality in link prediction: Understanding social complexity","volume":"7","author":"potgieter","year":"2007","journal-title":"Proc Sprouts Work Papers Inf Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1117454.1117458"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.1080.0292"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2905055.2905149"},{"key":"ref4","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2019.07.010"},{"key":"ref3","article-title":"Deep speech: Scaling up end-to-end speech recognition","author":"hannun","year":"2014","journal-title":"arXiv 1412 5567"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.osnem.2017.10.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.11.089"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1064830.1064834"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1348549.1348551"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5121\/ijdkp.2015.5401"},{"key":"ref2","article-title":"Deep reinforcement learning: An overview","author":"li","year":"2017","journal-title":"arXiv 1701 07274"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/computers8010008"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2013-569","article-title":"Recurrent neural networks for language understanding","author":"yao","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462686"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref21","article-title":"Thinking fast and slow with deep learning and tree search","author":"anthony","year":"2017","journal-title":"arXiv 1705 08439"},{"key":"ref24","article-title":"Structural analysis of criminal network and predicting hidden links using machine learning","author":"budur","year":"2015","journal-title":"arXiv 1507 05739"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1126\/science.aar6404"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2174\/1574893609666140516005740"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.7296262"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08930491.pdf?arnumber=8930491","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T11:26:30Z","timestamp":1722165990000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8930491\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2958873","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}