{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:44Z","timestamp":1750309364480,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:00:00Z","timestamp":1724457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,25]]},"DOI":"10.1145\/3637528.3672011","type":"proceedings-article","created":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T04:54:55Z","timestamp":1724561695000},"page":"1028-1039","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4778-6608","authenticated-orcid":false,"given":"Farnoosh","family":"Hashemi","sequence":"first","affiliation":[{"name":"Cornell University, Ithaca, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4934-669X","authenticated-orcid":false,"given":"Ali","family":"Behrouz","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Competing technologies, increasing returns, and lock-in by historical events. The economic journal","author":"Arthur W Brian","year":"1989","unstructured":"W Brian Arthur. 1989. Competing technologies, increasing returns, and lock-in by historical events. The economic journal, Vol. 99, 394 (1989), 116--131."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.90.032816"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-010-0079-y"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557572"},{"key":"e_1_3_2_1_5_1","volume-title":"Generalized Densest Subgraph in Multiplex Networks. arXiv preprint arXiv:2310.04893","author":"Behrouz Ali","year":"2023","unstructured":"Ali Behrouz and Farnoosh Hashemi. 2023. Generalized Densest Subgraph in Multiplex Networks. arXiv preprint arXiv:2310.04893 (2023)."},{"key":"e_1_3_2_1_6_1","volume-title":"Graph Mamba: Towards Learning on Graphs with State Space Models. arXiv preprint arXiv:2402.08678","author":"Behrouz Ali","year":"2024","unstructured":"Ali Behrouz and Farnoosh Hashemi. 2024. Graph Mamba: Towards Learning on Graphs with State Space Models. arXiv preprint arXiv:2402.08678 (2024)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/3570690.3570700"},{"key":"e_1_3_2_1_8_1","volume-title":"Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. arXiv preprint arXiv:2406.04320","author":"Behrouz Ali","year":"2024","unstructured":"Ali Behrouz, Michele Santacatterina, and Ramin Zabih. 2024. Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models. arXiv preprint arXiv:2406.04320 (2024)."},{"key":"e_1_3_2_1_9_1","volume-title":"NeurIPS 2022 Temporal Graph Learning Workshop. https:\/\/openreview.net\/forum?id=UDGZDfwmay","author":"Behrouz Ali","year":"2022","unstructured":"Ali Behrouz and Margo Seltzer. 2022. Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction. In NeurIPS 2022 Temporal Graph Learning Workshop. https:\/\/openreview.net\/forum?id=UDGZDfwmay"},{"key":"e_1_3_2_1_10_1","volume-title":"Machine Learning for Healthcare Conference","volume":"219","author":"Behrouz Ali","year":"2023","unstructured":"Ali Behrouz and Margo Seltzer. 2023. Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks. In Machine Learning for Healthcare Conference, Vol. 219. PMLR."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/14097032X"},{"key":"e_1_3_2_1_12_1","first-page":"601","article-title":"Latent Dirichlet Allocation","volume":"3","author":"Blei David","year":"2001","unstructured":"David Blei, Andrew Ng, and Michael Jordan. 2001. Latent Dirichlet Allocation. The Journal of Machine Learning Research, Vol. 3, 601--608.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_1_13_1","volume-title":"The statistical mechanics of strategic interaction. Games and economic behavior","author":"Blume Lawrence E","year":"1993","unstructured":"Lawrence E Blume. 1993. The statistical mechanics of strategic interaction. Games and economic behavior, Vol. 5, 3 (1993), 387--424."},{"key":"e_1_3_2_1_14_1","volume-title":"Emergence of network features from multiplexity. Scientific reports","author":"Cardillo Alessio","year":"2013","unstructured":"Alessio Cardillo, Jes\u00fas G\u00f3mez-Gardenes, Massimiliano Zanin, Miguel Romance, David Papo, Francisco del Pozo, and Stefano Boccaletti. 2013. Emergence of network features from multiplexity. Scientific reports, Vol. 3, 1 (2013), 1--6."},{"key":"e_1_3_2_1_15_1","volume-title":"Matteo Magnani, Barbara Pacelli, and Luca Rossi.","author":"Celli Fabio","year":"2010","unstructured":"Fabio Celli, F Marta L Di Lascio, Matteo Magnani, Barbara Pacelli, and Luca Rossi. 2010. Social Network Data and Practices: the case of Friendfeed. In SBP-BRiMS (Lecture Notes in Computer Science). Springer Berlin Heidelberg."},{"key":"e_1_3_2_1_16_1","volume-title":"On Finding Dense Common Subgraphs. arxiv","author":"Charikar Moses","year":"1802","unstructured":"Moses Charikar, Yonatan Naamad, and Jimmy Wu. 2018. On Finding Dense Common Subgraphs. arxiv: 1802.06361 [cs.DS]"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2019.00017"},{"key":"e_1_3_2_1_18_1","volume-title":"Trusses: Cohesive Subgraphs for Social Network Analysis. In National security agency. Technical report.","author":"Cohen Jonathan","year":"2008","unstructured":"Jonathan Cohen. 2008. Trusses: Cohesive Subgraphs for Social Network Analysis. In National security agency. Technical report."},{"key":"e_1_3_2_1_19_1","unstructured":"The dblp team. [n. d.]. dblp computer science bibliography. https:\/\/dblp.uni-trier.de\/xml\/."},{"key":"e_1_3_2_1_20_1","volume-title":"Scientific Reports","volume":"3","author":"Domenico M. De","year":"2013","unstructured":"M. De Domenico, A. Lima, P. Mougel, and M. Musolesi. 2013. The Anatomy of a Scientific Rumor. Scientific Reports, Vol. 3, 1 (2013)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1093\/comnet"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"M. De Domenico V. Nicosia A. Arenas and V. Latora. 2015. Structural reducibility of multilayer networks. Nature communications Vol. 6 (2015) 6864.","DOI":"10.1038\/ncomms7864"},{"key":"e_1_3_2_1_23_1","volume-title":"Thornton Jr","author":"Du Xiaoxi","year":"2009","unstructured":"Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, and John H. Thornton Jr. 2009. Migration motif: a spatial - temporal pattern mining approach for financial markets. In KDD. 1135--1144."},{"key":"e_1_3_2_1_24_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Elhamifar Ehsan","year":"2017","unstructured":"Ehsan Elhamifar and M De Paolis Kaluza. 2017. Subset selection and summarization in sequential data. Advances in Neural Information Processing Systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_25_1","volume-title":"Learning, local interaction, and coordination. Econometrica: Journal of the Econometric Society","author":"Ellison Glenn","year":"1993","unstructured":"Glenn Ellison. 1993. Learning, local interaction, and coordination. Econometrica: Journal of the Econometric Society (1993), 1047--1071."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11786-007-0026-2"},{"key":"e_1_3_2_1_27_1","volume-title":"England)","author":"Fratkin Eugene","year":"2006","unstructured":"Eugene Fratkin, Brian T Naughton, Douglas L Brutlag, and Serafim Batzoglou. 2006. MotifCut: regulatory motifs finding with maximum density subgraphs. Bioinformatics (Oxford, England), Vol. 22, 14 (July 2006)."},{"key":"e_1_3_2_1_28_1","volume-title":"Core Decomposition and Densest Subgraph in Multilayer Networks. In Conference on Information and Knowledge Management (CIKM).","author":"Galimberti Edoardo","year":"2017","unstructured":"Edoardo Galimberti, Francesco Bonchi, and Francesco Gullo. 2017. Core Decomposition and Densest Subgraph in Multilayer Networks. In Conference on Information and Knowledge Management (CIKM)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2398776.2398792"},{"key":"e_1_3_2_1_31_1","volume-title":"A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement. arXiv preprint arXiv:2406.13734","author":"Hashemi Farnoosh","year":"2024","unstructured":"Farnoosh Hashemi and Ali Behrouz. 2024. A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User Engagement. arXiv preprint arXiv:2406.13734 (2024)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512205"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2012.03.001"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"V. Jethava and N. Beerenwinkel. 2015. Finding Dense Subgraphs in Relational Graphs. In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing Cham 641--654.","DOI":"10.1007\/978-3-319-23525-7_39"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403101"},{"key":"e_1_3_2_1_36_1","volume-title":"Network externalities, competition, and compatibility. The American economic review","author":"Katz Michael L","year":"1985","unstructured":"Michael L Katz and Carl Shapiro. 1985. Network externalities, competition, and compatibility. The American economic review, Vol. 75, 3 (1985), 424--440."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570444"},{"volume-title":"Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SJU4ayYgl","author":"Thomas","key":"e_1_3_2_1_38_1","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SJU4ayYgl"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1093\/comnet"},{"key":"e_1_3_2_1_40_1","unstructured":"Tommaso Lanciano Atsushi Miyauchi Adriano Fazzone and Francesco Bonchi. 2023. A Survey on the Densest Subgraph Problem and its Variants. arxiv: 2303.14467 [cs.DS]"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1232722.1232727"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.4153\/CJM-1970--125--1"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34223-4_44"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.14778\/3611479.3611519"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-19841-3"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645647"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-004-0149-x"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2015.00059"},{"key":"e_1_3_2_1_49_1","volume-title":"Porter","author":"Peng Kaiyan","year":"2021","unstructured":"Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael R. Lindstrom, Christian Parkinson, Chuntian Wang, Andrea L. Bertozzi, and Mason A. Porter. 2021. A Multilayer Network Model of the Coevolution of the Spread of a Disease and Competing Opinions. arxiv: 2107.01713 [cs.SI]"},{"key":"e_1_3_2_1_50_1","unstructured":"Pekka S\u00e4\u00e4skilahti. 2005. Monopoly pricing of social goods. (2005)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467398"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363809"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-022-2431-z"}],"event":{"name":"KDD '24: The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Barcelona Spain","acronym":"KDD '24"},"container-title":["Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3672011","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3637528.3672011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:06Z","timestamp":1750291566000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3637528.3672011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,24]]},"references-count":52,"alternative-id":["10.1145\/3637528.3672011","10.1145\/3637528"],"URL":"https:\/\/doi.org\/10.1145\/3637528.3672011","relation":{},"subject":[],"published":{"date-parts":[[2024,8,24]]},"assertion":[{"value":"2024-08-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}