{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T02:11:48Z","timestamp":1773108708480,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T00:00:00Z","timestamp":1693958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Italian Ministry of University and Research (MUR)","award":["SERICS (PE00000014)"],"award-info":[{"award-number":["SERICS (PE00000014)"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,6]]},"DOI":"10.1145\/3582515.3609552","type":"proceedings-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T15:02:36Z","timestamp":1692111756000},"page":"333-341","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["User migration prediction in blockchain socioeconomic networks using graph neural networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4035-7464","authenticated-orcid":false,"given":"Cheick Tidiane","family":"Ba","sequence":"first","affiliation":[{"name":"Computer Science, University of Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3286-4666","authenticated-orcid":false,"given":"Alessia","family":"Galdeman","sequence":"additional","affiliation":[{"name":"University of Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4861-455X","authenticated-orcid":false,"given":"Manuel","family":"Dileo","sequence":"additional","affiliation":[{"name":"University of Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4808-4106","authenticated-orcid":false,"given":"Matteo","family":"Zignani","sequence":"additional","affiliation":[{"name":"Computer Science, University of Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3779-2809","authenticated-orcid":false,"given":"Sabrina","family":"Gaito","sequence":"additional","affiliation":[{"name":"University of Milan, Italy"}]}],"member":"320","published-online":{"date-parts":[[2023,9,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3501247.3531597"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/PerComWorkshops53856.2022.9767453"},{"key":"e_1_3_2_1_3_1","volume-title":"Random search for hyper-parameter optimization.Journal of machine learning research 13, 2","author":"Bergstra James","year":"2012","unstructured":"James Bergstra and Yoshua Bengio. 2012. Random search for hyper-parameter optimization.Journal of machine learning research 13, 2 (2012)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Lucio\u00a0La Cava Luca\u00a0Maria Aiello and Andrea Tagarelli. 2023. Get Out of the Nest! Drivers of Social Influence in the #TwitterMigration to Mastodon. arxiv:2305.19056\u00a0[cs.CY]","DOI":"10.1038\/s41598-023-48200-7"},{"key":"e_1_3_2_1_5_1","unstructured":"Cai Davies James Ashford Luis Espinosa-Anke Alun Preece Liam Turner Roger Whitaker Mudhakar Srivatsa and Diane Felmlee. 2021. Multi-scale user migration on Reddit. AAAI."},{"key":"e_1_3_2_1_6_1","unstructured":"Steemit developer documentation. 2021. Broadcast Ops. https:\/\/developers.steem.io\/apidefinitions\/broadcast-ops"},{"key":"e_1_3_2_1_7_1","unstructured":"Hive\u00a0Developer Documentation. 2021. API Docs - API Definitions. https:\/\/developers.hive.io\/apidefinitions\/"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411170.3411246"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA54385.2022.10032398"},{"key":"e_1_3_2_1_10_1","volume-title":"In Proceedings of IEEE International Conference on Communications.","author":"Galdeman Alessia","year":"2023","unstructured":"Alessia Galdeman, Matteo Zignani, and Sabrina Gaito. 2023 (Accepted). User migration across web3 online social networks: behaviors and influence of hubs. In In Proceedings of IEEE International Conference on Communications."},{"key":"e_1_3_2_1_11_1","volume-title":"International conference on machine learning. PMLR, 1263\u20131272","author":"Gilmer Justin","year":"2017","unstructured":"Justin Gilmer, Samuel\u00a0S Schoenholz, Patrick\u00a0F Riley, Oriol Vinyals, and George\u00a0E Dahl. 2017. Neural message passing for quantum chemistry. In International conference on machine learning. PMLR, 1263\u20131272."},{"key":"e_1_3_2_1_12_1","volume-title":"Deep Learning","author":"Goodfellow Ian","unstructured":"Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press. http:\/\/www.deeplearningbook.org."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2020.101131"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.3042745"},{"key":"e_1_3_2_1_15_1","volume-title":"Inductive representation learning on large graphs. Advances in neural information processing systems 30","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2012.03.001"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3343440","article-title":"A systematic review on imbalanced data challenges in machine learning: Applications and solutions","volume":"52","author":"Kaur Harsurinder","year":"2019","unstructured":"Harsurinder Kaur, Husanbir\u00a0Singh Pannu, and Avleen\u00a0Kaur Malhi. 2019. A systematic review on imbalanced data challenges in machine learning: Applications and solutions. ACM Computing Surveys (CSUR) 52, 4 (2019), 1\u201336.","journal-title":"ACM Computing Surveys (CSUR)"},{"key":"e_1_3_2_1_18_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2014","unstructured":"Diederik\u00a0P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2014)."},{"key":"e_1_3_2_1_19_1","volume-title":"Variational graph auto-encoders. arXiv preprint arXiv:1611.07308","author":"Kipf N","year":"2016","unstructured":"Thomas\u00a0N Kipf and Max Welling. 2016. Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016)."},{"key":"e_1_3_2_1_20_1","volume-title":"Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SJU4ayYgl","author":"N.","unstructured":"Thomas\u00a0N. 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_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v25i1.8089"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-021-01168-5"},{"key":"e_1_3_2_1_23_1","volume-title":"Class-Imbalanced Learning on Graphs: A Survey. arXiv preprint arXiv:2304.04300","author":"Ma Yihong","year":"2023","unstructured":"Yihong Ma, Yijun Tian, Nuno Moniz, and Nitesh\u00a0V Chawla. 2023. Class-Imbalanced Learning on Graphs: A Survey. arXiv preprint arXiv:2304.04300 (2023)."},{"key":"e_1_3_2_1_24_1","unstructured":"Minds. [n. d.]. Minds. https:\/\/www.minds.com\/"},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media, Vol.\u00a010","author":"Newell Edward","year":"2016","unstructured":"Edward Newell, David Jurgens, Haji Saleem, Hardik Vala, Jad Sassine, Caitrin Armstrong, and Derek Ruths. 2016. User migration in online social networks: A case study on reddit during a period of community unrest. In Proceedings of the International AAAI Conference on Web and Social Media, Vol.\u00a010. 279\u2013288."},{"key":"e_1_3_2_1_26_1","unstructured":"Sapien. [n. d.]. Sapien. https:\/\/www.sapien.network\/"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTER.2018.8615571"},{"key":"e_1_3_2_1_28_1","volume-title":"Graph attention networks. stat 1050, 20","author":"Velickovic Petar","year":"2017","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, Yoshua Bengio, 2017. Graph attention networks. stat 1050, 20 (2017), 10\u201348550."},{"key":"e_1_3_2_1_29_1","unstructured":"Shermin Voshmgir. 2020. Token economy: How the Web3 reinvents the internet. Vol.\u00a02. Token Kitchen."},{"key":"e_1_3_2_1_30_1","volume-title":"Digital","author":"We Are","year":"2023","unstructured":"We Are Social UK. 2023. Digital 2023. https:\/\/wearesocial.com\/uk\/blog\/2023\/01\/digital-2023\/"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.061"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539300"},{"key":"e_1_3_2_1_33_1","volume-title":"International conference on machine learning. PMLR, 7134\u20137143","author":"You Jiaxuan","year":"2019","unstructured":"Jiaxuan You, Rex Ying, and Jure Leskovec. 2019. Position-aware graph neural networks. In International conference on machine learning. PMLR, 7134\u20137143."},{"key":"e_1_3_2_1_34_1","volume-title":"Link prediction based on graph neural networks. Advances in neural information processing systems 31","author":"Zhang Muhan","year":"2018","unstructured":"Muhan Zhang and Yixin Chen. 2018. Link prediction based on graph neural networks. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_1_35_1","volume-title":"Hierarchical Graph Pooling with Structure Learning. ArXiv abs\/1911.05954","author":"Zhang Zhen","year":"2019","unstructured":"Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, and Can Wang. 2019. Hierarchical Graph Pooling with Structure Learning. ArXiv abs\/1911.05954 (2019)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441720"},{"key":"e_1_3_2_1_37_1","volume-title":"Flocking to mastodon: Tracking the great twitter migration. arXiv preprint arXiv:2302.14294","author":"Zia Haris\u00a0Bin","year":"2023","unstructured":"Haris\u00a0Bin Zia, Jiahui He, Aravindh Raman, Ignacio Castro, Nishanth Sastry, and Gareth Tyson. 2023. Flocking to mastodon: Tracking the great twitter migration. arXiv preprint arXiv:2302.14294 (2023)."}],"event":{"name":"GoodIT '23: ACM International Conference on Information Technology for Social Good","location":"Lisbon Portugal","acronym":"GoodIT '23","sponsor":["SIGCAS ACM Special Interest Group on Computers and Society"]},"container-title":["Proceedings of the 2023 ACM Conference on Information Technology for Social Good"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582515.3609552","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582515.3609552","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:15Z","timestamp":1750178835000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582515.3609552"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,6]]},"references-count":37,"alternative-id":["10.1145\/3582515.3609552","10.1145\/3582515"],"URL":"https:\/\/doi.org\/10.1145\/3582515.3609552","relation":{},"subject":[],"published":{"date-parts":[[2023,9,6]]},"assertion":[{"value":"2023-09-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}