{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:32:55Z","timestamp":1743100375027,"version":"3.40.3"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030587987"},{"type":"electronic","value":"9783030587994"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58799-4_65","type":"book-chapter","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T13:07:30Z","timestamp":1601471250000},"page":"905-922","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Classification of Actors in Social Networks Using RLVECO"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4370-705X","authenticated-orcid":false,"given":"Bonaventure C.","family":"Molokwu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4734-7867","authenticated-orcid":false,"given":"Shaon Bhatta","family":"Shuvo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4082-1888","authenticated-orcid":false,"given":"Narayan C.","family":"Kar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9503-9730","authenticated-orcid":false,"given":"Ziad","family":"Kobti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,1]]},"reference":[{"key":"65_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8462-3","volume-title":"Social Network Data Analytics","year":"2011","unstructured":"Aggarwal, C.C. (ed.): Social Network Data Analytics. Springer, Boston (2011). https:\/\/doi.org\/10.1007\/978-1-4419-8462-3"},{"volume-title":"Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution","year":"2014","key":"65_CR2","unstructured":"Batagelj, V., Doreian, P., Ferligoj, A., Kejzar, N. (eds.): Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution. Wiley, Hoboken (2014)"},{"key":"65_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000006","volume":"2","author":"Y Bengio","year":"2009","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends Mach. Learn. 2, 1\u2013113 (2009)","journal-title":"Found. Trends Mach. Learn."},{"key":"65_CR4","unstructured":"Deng, L.M., Yu, D.H.: Deep Learning: Methods and Applications. Foundations and Trends in Signal Processing. Now Publishers (2014). https:\/\/books.google.ca\/books?id=-Sa6xQEACAAJ"},{"key":"65_CR5","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"IG Goodfellow","year":"2015","unstructured":"Goodfellow, I.G., Bengio, Y., Courville, A.C.: Deep learning. Nature 521, 436\u2013444 (2015)","journal-title":"Nature"},{"volume-title":"Deep Learning","year":"2017","key":"65_CR6","unstructured":"Goodfellow, I.G., Bengio, Y., Courville, A.C. (eds.): Deep Learning. MIT Press, Cambridge (2017)"},{"volume-title":"Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems","year":"2017","key":"65_CR7","unstructured":"Gron, A. (ed.): Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O\u2019Reilly Media, Inc., Newton (2017)"},{"key":"65_CR8","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: Scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 855\u2013864 (2016)","DOI":"10.1145\/2939672.2939754"},{"issue":"10","key":"65_CR9","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.tics.2007.09.004","volume":"11","author":"GE Hinton","year":"2007","unstructured":"Hinton, G.E.: Learning multiple layers of representation. TRENDS Cogn. Sci. 11(10), 428\u2013433 (2007)","journal-title":"TRENDS Cogn. Sci."},{"key":"65_CR10","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MSP.2012.2205597","volume":"29","author":"GE Hinton","year":"2012","unstructured":"Hinton, G.E., et al.: Deep neural networks for acoustic modeling in speech recognition. IEEE Signal Process. Mag. 29, 82\u201397 (2012)","journal-title":"IEEE Signal Process. Mag."},{"key":"65_CR11","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: International Conference on Learning Representations (ICLR), abs\/1609.02907 (2017)"},{"key":"65_CR12","doi-asserted-by":"crossref","unstructured":"Krebs, V.: Orgnet LLC, January 2002. http:\/\/www.orgnet.com\/netindustry.html","DOI":"10.1145\/504689.504690"},{"key":"65_CR13","unstructured":"Krebs, V.E.: Organizational adaptability quotient. In: IBM Global Services (2008)"},{"key":"65_CR14","doi-asserted-by":"crossref","unstructured":"Kunegis, J.: Konect: the Koblenz network collection. In: Proceedings of the 22nd International Conference on World Wide Web (2013). http:\/\/konect.cc\/","DOI":"10.1145\/2487788.2488173"},{"key":"65_CR15","doi-asserted-by":"crossref","unstructured":"Molokwu, B.C.: Event prediction in complex social graphs using one-dimensional convolutional neural network. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI (2019)","DOI":"10.24963\/ijcai.2019\/914"},{"key":"65_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1007\/978-3-030-18305-9_64","volume-title":"Advances in Artificial Intelligence","author":"BC Molokwu","year":"2019","unstructured":"Molokwu, B.C.: Event prediction in social graphs using 1-dimensional convolutional neural network. In: Meurs, M.-J., Rudzicz, F. (eds.) Canadian AI 2019. LNCS (LNAI), vol. 11489, pp. 588\u2013592. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-18305-9_64"},{"key":"65_CR17","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/978-3-030-36802-9_61","volume-title":"Neural Information Processing","author":"BC Molokwu","year":"2019","unstructured":"Molokwu, B.C., Kobti, Z.: Event prediction in complex social graphs via feature learning of vertex embeddings. In: Gedeon, T., Wong, K.W., Lee, M. (eds.) ICONIP 2019. CCIS, vol. 1143, pp. 573\u2013580. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-36802-9_61"},{"key":"65_CR18","doi-asserted-by":"crossref","unstructured":"Molokwu, B.C., Kobti, Z.: Spatial event prediction via multivariate time series analysis of neighboring social units using deep neural networks. In: 2019 International Joint Conference on Neural Networks, IJCNN, pp. 1\u20138 (2019)","DOI":"10.1109\/IJCNN.2019.8851730"},{"key":"65_CR19","unstructured":"Namata, G., London, B., Getoor, L., Huang, B.: Query-driven active surveying for collective classification. In: Proceedings of the Workshop on Mining and Learning with Graphs, MLG 2012 (2012)"},{"volume-title":"Deep Learning: A Practitioner\u2019s Approach","year":"2017","key":"65_CR20","unstructured":"Patterson, J., Gibson, A. (eds.): Deep Learning: A Practitioner\u2019s Approach. O\u2019Reilly Media, Inc., Newton (2017)"},{"key":"65_CR21","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou\u2019, R., Skiena, S.: DeepWalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, abs\/1403.6652 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"65_CR22","doi-asserted-by":"crossref","unstructured":"Rossi, R.A., Ahmed, N.K.: The network data repository with interactive graph analytics and visualization. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (2015). http:\/\/networkrepository.com","DOI":"10.1609\/aaai.v29i1.9277"},{"key":"65_CR23","unstructured":"Rozemberczki, B., Allen, C., Sarkar, R.: Multi-scale attributed node embedding. arXiv abs\/1909.13021 (2019)"},{"volume-title":"Social Network Analysis","year":"2017","key":"65_CR24","unstructured":"Scott, J. (ed.): Social Network Analysis. SAGE Publications Ltd., Newbury Park (2017)"},{"key":"65_CR25","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1609\/aimag.v29i3.2157","volume":"29","author":"P Sen","year":"2008","unstructured":"Sen, P., Namata, G., Bilgic, M., Getoor, L., Gallagher, B., Eliassi-Rad, T.: Collective classification in network data. AI Mag. 29, 93\u2013106 (2008)","journal-title":"AI Mag."},{"key":"65_CR26","unstructured":"Tabacof, P., Costabello, L.: Probability calibration for knowledge graph embedding models. In: International Conference on Learning Representations (ICLR), abs\/1912.10000 (2020)"},{"key":"65_CR27","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: Line: large-scale information network embedding. In: Proceedings of the 24th International Conference on World Wide Web (2015)","DOI":"10.1145\/2736277.2741093"},{"key":"65_CR28","doi-asserted-by":"crossref","unstructured":"Wang, D., Cui, P., Zhu, W.: Structural deep network embedding. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016)","DOI":"10.1145\/2939672.2939753"},{"key":"65_CR29","doi-asserted-by":"crossref","unstructured":"Yang, S., Tian, J., Zhang, H., Yan, J., He, H., Jin, Y.: TransMS: knowledge graph embedding for complex relations by multidirectional semantics. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI (2019)","DOI":"10.24963\/ijcai.2019\/268"},{"key":"65_CR30","doi-asserted-by":"publisher","unstructured":"Zachary, W.W.: An information flow model for conflict and fission in small groups1. J. Anthropol. Res. 33 (1977). https:\/\/doi.org\/10.1086\/jar.33.4.3629752","DOI":"10.1086\/jar.33.4.3629752"},{"key":"65_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Sun, Z., Hu, W., Chen, M., Guo, L., Qu, Y.: Multi-view knowledge graph embedding for entity alignment. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI, vol. abs\/1906.02390 (2019)","DOI":"10.24963\/ijcai.2019\/754"},{"key":"65_CR32","unstructured":"Zhao, B., Sen, P., Getoor, L.: Entity and relationship labeling in affiliation networks. In: Proceedings of the 23rd International Conference on Machine Learning, ICML (2006)"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58799-4_65","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T10:22:34Z","timestamp":1669026154000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58799-4_65"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030587987","9783030587994"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58799-4_65","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"1 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"466","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}