{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:29:41Z","timestamp":1742966981624,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819982950"},{"type":"electronic","value":"9789819982967"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-8296-7_45","type":"book-chapter","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:04:14Z","timestamp":1700179454000},"page":"598-605","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Community Detection for Personalized Learning Pathway Recommendations on IT E-Learning System"],"prefix":"10.1007","author":[{"given":"Nguyen Dinh","family":"Thuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tran Man","family":"Quan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dang Nguyen Phuoc","family":"An","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen Minh","family":"Nhut","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,17]]},"reference":[{"key":"45_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijedudev.2023.102814","volume":"101","author":"K Aulakh","year":"2023","unstructured":"Aulakh, K., Roul, R.K., Kaushal, M.: E-learning enhancement through educational data mining with covid-19 outbreak period in the backdrop: a review. Int. J. Educ. Dev. 101, 102814 (2023). https:\/\/doi.org\/10.1016\/j.ijedudev.2023.102814","journal-title":"Int. J. Educ. Dev."},{"key":"45_CR2","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.compedu.2015.10.012","volume":"92","author":"M Zhou","year":"2016","unstructured":"Zhou, M.: Chinese university students\u2019 acceptance of MOOCs: a self-determination perspective. Comput. Educ. 92, 194\u2013203 (2016). https:\/\/doi.org\/10.1016\/j.compedu.2015.10.012","journal-title":"Comput. Educ."},{"issue":"12","key":"45_CR3","first-page":"172","volume":"11","author":"S Aldahmani","year":"2020","unstructured":"Aldahmani, S., Al-shami, S.A., Adil, H., Sidek, S.: A review paper on MOOCs development stages, types, opportunities and challenges. System. Rev. Pharm. 11(12), 172\u2013179 (2020)","journal-title":"System. Rev. Pharm."},{"key":"45_CR4","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.compedu.2016.03.016","volume":"98","author":"KS Hone","year":"2016","unstructured":"Hone, K.S., Said, G.R.E.: Exploring the factors affecting MOOC retention: a survey study. Comput. Educ. 98, 157\u2013168 (2016). https:\/\/doi.org\/10.1016\/j.compedu.2016.03.016","journal-title":"Comput. Educ."},{"issue":"5","key":"45_CR5","doi-asserted-by":"publisher","first-page":"432","DOI":"10.34190\/ejel.19.5.2482","volume":"19","author":"S Souabi","year":"2021","unstructured":"Souabi, S., Retbi, A., Idrissi, M.K.K., Bennani, S.: Recommendation systems on e-learning and social learning: a systematic review. Electron. J. e-Learn. 19(5), 432\u2013451 (2021). https:\/\/doi.org\/10.34190\/ejel.19.5.2482","journal-title":"Electron. J. e-Learn."},{"issue":"4","key":"45_CR6","doi-asserted-by":"publisher","first-page":"2635","DOI":"10.1007\/s10639-019-10063-9","volume":"25","author":"SS Khanal","year":"2019","unstructured":"Khanal, S.S., Prasad, P.W.C., Alsadoon, A., Maag, A.: A systematic review: machine learning based recommendation systems for e-learning. Educ. Inf. Technol. 25(4), 2635\u20132664 (2019). https:\/\/doi.org\/10.1007\/s10639-019-10063-9","journal-title":"Educ. Inf. Technol."},{"key":"45_CR7","doi-asserted-by":"publisher","first-page":"e1431","DOI":"10.1002\/widm.1431","volume":"12","author":"S Yassine","year":"2021","unstructured":"Yassine, S., Kadry, S., Sicilia, M.: Detecting communities using social network analysis in online learning environments: systematic literature review. WIREs Data Min. Knowl. Discovery 12, e1431 (2021). https:\/\/doi.org\/10.1002\/widm.1431","journal-title":"WIREs Data Min. Knowl. Discovery"},{"issue":"8","key":"45_CR8","doi-asserted-by":"publisher","first-page":"2813","DOI":"10.3390\/app10082813","volume":"10","author":"X Li","year":"2020","unstructured":"Li, X., Yu, Q., Zhang, Y., Dai, J., Yin, B.: Visual analytic method for students\u2019 association via modularity optimization. Appl. Sci. 10(8), 2813 (2020). https:\/\/doi.org\/10.3390\/app10082813","journal-title":"Appl. Sci."},{"doi-asserted-by":"publisher","unstructured":"Xie, J., Szymanski, B.K., Liu, X.: SLPA: uncovering overlapping communities in social networks via a speaker-listener interaction dynamic process. In: 2011 IEEE 11th International Conference on Data Mining Workshops, pp. 344\u2013349. Vancouver, BC, Canada (2011). https:\/\/doi.org\/10.1109\/icdmw.2011.154","key":"45_CR9","DOI":"10.1109\/icdmw.2011.154"},{"key":"45_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-018-0522-1","volume":"8","author":"J Scripps","year":"2018","unstructured":"Scripps, J., Trefftz, C., Kurmas, Z.: The difference between optimal and germane communities. Soc. Netw. Anal. Min. 8, 1\u201319 (2018). https:\/\/doi.org\/10.1007\/s13278-018-0522-1","journal-title":"Soc. Netw. Anal. Min."},{"key":"45_CR11","doi-asserted-by":"publisher","first-page":"3975","DOI":"10.1007\/s10489-020-01962-3","volume":"51","author":"F Gasparetti","year":"2020","unstructured":"Gasparetti, F., Sansonetti, G., Micarelli, A.: Community detection in social recommender systems: a survey. Appl. Intell. 51, 3975\u20133995 (2020). https:\/\/doi.org\/10.1007\/s10489-020-01962-3","journal-title":"Appl. Intell."},{"doi-asserted-by":"publisher","unstructured":"Zhang, J., Ma, Z., Sun, Q., Yan. J.: Research review on algorithms of community detection in complex networks. In: Journal of Physics: Conference Series, vol. 1069(1), p. 012124 (2018). https:\/\/doi.org\/10.1088\/1742-6596\/1069\/1\/012124","key":"45_CR12","DOI":"10.1088\/1742-6596\/1069\/1\/012124"},{"issue":"3","key":"45_CR13","doi-asserted-by":"publisher","first-page":"2258","DOI":"10.1007\/s10664-019-09758-x","volume":"25","author":"S Beyer","year":"2019","unstructured":"Beyer, S., Macho, C., Penta, D.M., Pinzger, M.: What questions do developers ask on stack overflow? A comparison of automated approaches to classify posts into question categories. Empir. Softw. Eng. 25(3), 2258\u20132301 (2019). https:\/\/doi.org\/10.1007\/s10664-019-09758-x","journal-title":"Empir. Softw. Eng."},{"issue":"8","key":"45_CR14","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1038\/s41567-022-01716-7","volume":"18","author":"S Fortunato","year":"2022","unstructured":"Fortunato, S., Newman, M.E.: 20 years of network community detection. Nat. Phys. 18(8), 848\u2013850 (2022). https:\/\/doi.org\/10.1038\/s41567-022-01716-7","journal-title":"Nat. Phys."},{"issue":"9","key":"45_CR15","doi-asserted-by":"publisher","first-page":"7765","DOI":"10.1016\/j.jksuci.2021.07.006","volume":"34","author":"D Singh","year":"2022","unstructured":"Singh, D., Garg, R.: Ni-Louvain: a novel algorithm to detect overlapping communities with influence analysis. J. King Saud Univ. Comput. Inf. Sci. 34(9), 7765\u20137774 (2022). https:\/\/doi.org\/10.1016\/j.jksuci.2021.07.006","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"doi-asserted-by":"publisher","unstructured":"Cherifi, H., Palla, G., Szymanski, B.K., Lu. X.: On community structure in complex networks: challenges and opportunities. Appl. Netw. Sci. (2019). https:\/\/doi.org\/10.1007\/s41109-019-0238-9","key":"45_CR16","DOI":"10.1007\/s41109-019-0238-9"},{"doi-asserted-by":"publisher","unstructured":"Dahlin, J., Svensson, P.: Ensemble approaches for improving community detection methods\u2014arXiv preprint arXiv:1309.0242v1 (2013). https:\/\/doi.org\/10.48550\/arXiv.1309.0242","key":"45_CR17","DOI":"10.48550\/arXiv.1309.0242"}],"container-title":["Communications in Computer and Information Science","Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8296-7_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:14:19Z","timestamp":1700180059000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8296-7_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819982950","9789819982967"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8296-7_45","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"17 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FDSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Future Data and Security Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Da Nang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fdse2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/thefdse.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":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"135","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":"38","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":"8","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":"28% - 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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}