{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T08:54:02Z","timestamp":1769072042349,"version":"3.49.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031079191","type":"print"},{"value":"9783031079207","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-07920-7_24","type":"book-chapter","created":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T23:02:52Z","timestamp":1656889372000},"page":"306-317","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Agent-Based Vector-Label Propagation for\u00a0Explaining Social Network Structures"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4473-6258","authenticated-orcid":false,"given":"Valerio","family":"Bellandi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4519-0173","authenticated-orcid":false,"given":"Paolo","family":"Ceravolo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9557-6496","authenticated-orcid":false,"given":"Ernesto","family":"Damiani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8310-2050","authenticated-orcid":false,"given":"Samira","family":"Maghool","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,4]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1016\/j.future.2020.09.030","volume":"115","author":"M Arafeh","year":"2021","unstructured":"Arafeh, M., Ceravolo, P., Mourad, A., Damiani, E., Bellini, E.: Ontology based recommender system using social network data. Future Gener. Comput. Syst. 115, 769\u2013779 (2021)","journal-title":"Future Gener. Comput. Syst."},{"key":"24_CR2","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.procs.2017.08.045","volume":"112","author":"M Azaouzi","year":"2017","unstructured":"Azaouzi, M., Romdhane, L.B.: An evidential influence-based label propagation algorithm for distributed community detection in social networks. Procedia Comput. Sci. 112, 407\u2013416 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"24_CR3","unstructured":"Bertin-Mahieux, T., Ellis, D.P., Whitman, B., Lamere, P.: The million song dataset. In: Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011) (2011)"},{"issue":"2","key":"24_CR4","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s11749-016-0481-7","volume":"25","author":"G Biau","year":"2016","unstructured":"Biau, G., Scornet, E.: A random forest guided tour. TEST 25(2), 197\u2013227 (2016). https:\/\/doi.org\/10.1007\/s11749-016-0481-7","journal-title":"TEST"},{"key":"24_CR5","doi-asserted-by":"publisher","unstructured":"Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks 2008(10), P10008 (2008). https:\/\/doi.org\/10.1088\/1742-5468\/2008\/10\/p10008","DOI":"10.1088\/1742-5468\/2008\/10\/p10008"},{"issue":"5","key":"24_CR6","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1287\/orsc.1100.0641","volume":"22","author":"SP Borgatti","year":"2011","unstructured":"Borgatti, S.P., Halgin, D.S.: On network theory. Organ. Sci. 22(5), 1168\u20131181 (2011)","journal-title":"Organ. Sci."},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Brahim, L., Loubna, B., Ali, I.: A literature survey on label propagation for community detection. In: 2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), pp. 1\u20137. IEEE (2021)","DOI":"10.1109\/ICDS53782.2021.9626716"},{"key":"24_CR8","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.inffus.2020.05.009","volume":"63","author":"D Camacho","year":"2020","unstructured":"Camacho, D., Panizo-LLedot, \u00c1., Bello-Orgaz, G., Gonzalez-Pardo, A., Cambria, E.: The four dimensions of social network analysis: an overview of research methods, applications, and software tools. Inf. Fusion 63, 88\u2013120 (2020)","journal-title":"Inf. Fusion"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Ceravolo, P., Guerretti, S.: Testing social network metrics for measuring electoral success in the Italian municipal campaign of 2011. In: 2013 International Conference on Cloud and Green Computing, pp. 342\u2013347. IEEE (2013)","DOI":"10.1109\/CGC.2013.60"},{"issue":"6","key":"24_CR10","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.066111","volume":"70","author":"A Clauset","year":"2004","unstructured":"Clauset, A., Newman, M.E., Moore, C.: Finding community structure in very large networks. Phys. Rev. E 70(6), 066111 (2004)","journal-title":"Phys. Rev. E"},{"issue":"1","key":"24_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-021-04589-7","volume":"12","author":"M Cremonini","year":"2022","unstructured":"Cremonini, M., Maghool, S.: The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading. Sci. Rep. 12(1), 1\u201310 (2022)","journal-title":"Sci. Rep."},{"issue":"09","key":"24_CR12","doi-asserted-by":"publisher","first-page":"P09008","DOI":"10.1088\/1742-5468\/2005\/09\/P09008","volume":"2005","author":"L Danon","year":"2005","unstructured":"Danon, L., Diaz-Guilera, A., Duch, J., Arenas, A.: Comparing community structure identification. J. Stat. Mech. Theory Exp. 2005(09), P09008 (2005)","journal-title":"J. Stat. Mech. Theory Exp."},{"issue":"2","key":"24_CR13","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.72.027104","volume":"72","author":"J Duch","year":"2005","unstructured":"Duch, J., Arenas, A.: Community detection in complex networks using extremal optimization. Physical review E 72(2), 027104 (2005)","journal-title":"Physical review E"},{"issue":"6","key":"24_CR14","doi-asserted-by":"publisher","first-page":"1411","DOI":"10.1086\/230450","volume":"99","author":"M Emirbayer","year":"1994","unstructured":"Emirbayer, M., Goodwin, J.: Network analysis, culture, and the problem of agency. Am. J. Sociol. 99(6), 1411\u20131454 (1994)","journal-title":"Am. J. Sociol."},{"key":"24_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/978-3-319-46349-0_26","volume-title":"Advances in Intelligent Data Analysis XV","author":"JE van Engelen","year":"2016","unstructured":"van Engelen, J.E., Boekhout, H.D., Takes, F.W.: Explainable and efficient link prediction in real-world network data. In: Bostr\u00f6m, H., Knobbe, A., Soares, C., Papapetrou, P. (eds.) IDA 2016. LNCS, vol. 9897, pp. 295\u2013307. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46349-0_26"},{"key":"24_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.122058","volume":"534","author":"SE Garza","year":"2019","unstructured":"Garza, S.E., Schaeffer, S.E.: Community detection with the label propagation algorithm: a survey. Physica A Stat. Mech. Appl. 534, 122058 (2019)","journal-title":"Physica A Stat. Mech. Appl."},{"issue":"10","key":"24_CR17","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/12\/10\/103018","volume":"12","author":"S Gregory","year":"2010","unstructured":"Gregory, S.: Finding overlapping communities in networks by label propagation. New J. Phys. 12(10), 103018 (2010)","journal-title":"New J. Phys."},{"issue":"2","key":"24_CR18","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.65.026107","volume":"65","author":"P Holme","year":"2002","unstructured":"Holme, P., Kim, B.J.: Growing scale-free networks with tunable clustering. Phys. Rev. E 65(2), 026107 (2002)","journal-title":"Phys. Rev. E"},{"issue":"8","key":"24_CR19","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1016\/j.physleta.2018.11.033","volume":"383","author":"E Jokar","year":"2019","unstructured":"Jokar, E., Mosleh, M.: Community detection in social networks based on improved label propagation algorithm and balanced link density. Phys. Lett. A 383(8), 718\u2013727 (2019)","journal-title":"Phys. Lett. A"},{"key":"24_CR20","unstructured":"L\u00e1szl\u00f3, B.A.: Linked: How Everything is Connected to Everything Else and What IT MEANS FOR Business, Science, and Everyday Life. Basic Books (2014)"},{"key":"24_CR21","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.physa.2014.02.041","volume":"404","author":"Q Li","year":"2014","unstructured":"Li, Q., Zhou, T., L\u00fc, L., Chen, D.: Identifying influential spreaders by weighted LeaderRank. Physica A Stat. Mech. Appl. 404, 47\u201355 (2014)","journal-title":"Physica A Stat. Mech. Appl."},{"key":"24_CR22","doi-asserted-by":"crossref","unstructured":"Long, F., Ning, N., Song, C., Wu, B.: Strengthening social networks analysis by networks fusion. In: Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 460\u2013463 (2019)","DOI":"10.1145\/3341161.3342939"},{"issue":"12","key":"24_CR23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0225447","volume":"14","author":"S Maghool","year":"2019","unstructured":"Maghool, S., Maleki-Jirsaraei, N., Cremonini, M.: The coevolution of contagion and behavior with increasing and decreasing awareness. PloS One 14(12), e0225447 (2019)","journal-title":"PloS One"},{"issue":"1","key":"24_CR24","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1146\/annurev.soc.27.1.415","volume":"27","author":"M McPherson","year":"2001","unstructured":"McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily in social networks. Annu. Rev. Sociol. 27(1), 415\u2013444 (2001)","journal-title":"Annu. Rev. Sociol."},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Qiu, J., Tang, J., Ma, H., Dong, Y., Wang, K., Tang, J.: DeepInf: social influence prediction with deep learning. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2110\u20132119 (2018)","DOI":"10.1145\/3219819.3220077"},{"issue":"3","key":"24_CR26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.036106","volume":"76","author":"UN Raghavan","year":"2007","unstructured":"Raghavan, U.N., Albert, R., Kumara, S.: Near linear time algorithm to detect community structures in large-scale networks. Phys. Rev. E 76(3), 036106 (2007)","journal-title":"Phys. Rev. E"},{"issue":"1","key":"24_CR27","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1177\/0038038588022001007","volume":"22","author":"J Scott","year":"1988","unstructured":"Scott, J.: Social network analysis. Sociology 22(1), 109\u2013127 (1988)","journal-title":"Sociology"},{"key":"24_CR28","doi-asserted-by":"crossref","unstructured":"Sun, H., Huang, J., Zhong, X., Liu, K., Zou, J., Song, Q.: Label propagation with-degree neighborhood impact for network community detection. Comput. Intell. Neurosci. 2014 (2014)","DOI":"10.1155\/2014\/130689"},{"issue":"3","key":"24_CR29","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1007\/s11390-012-1236-x","volume":"27","author":"ZH Wu","year":"2012","unstructured":"Wu, Z.H., Lin, Y.F., Gregory, S., Wan, H.Y., Tian, S.F.: Balanced multi-label propagation for overlapping community detection in social networks. J. Comput. Sci. Technol. 27(3), 468\u2013479 (2012)","journal-title":"J. Comput. Sci. Technol."},{"key":"24_CR30","doi-asserted-by":"crossref","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. IEEE (2011)","DOI":"10.1109\/ICDMW.2011.154"},{"key":"24_CR31","doi-asserted-by":"crossref","unstructured":"Xing, Y., Meng, F., Zhou, Y., Zhu, M., Shi, M., Sun, G.: A node influence based label propagation algorithm for community detection in networks. The Scientific World Journal 2014 (2014)","DOI":"10.1155\/2014\/627581"},{"key":"24_CR32","doi-asserted-by":"crossref","unstructured":"Xu, X., Yuruk, N., Feng, Z., Schweiger, T.A.: SCAN: a structural clustering algorithm for networks. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 824\u2013833 (2007)","DOI":"10.1145\/1281192.1281280"},{"issue":"3","key":"24_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2700381","volume":"47","author":"O Zoidi","year":"2015","unstructured":"Zoidi, O., Fotiadou, E., Nikolaidis, N., Pitas, I.: Graph-based label propagation in digital media: a review. ACM Comput. Surv. (CSUR) 47(3), 1\u201335 (2015)","journal-title":"ACM Comput. Surv. (CSUR)"}],"container-title":["Communications in Computer and Information Science","Knowledge Management in Organisations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07920-7_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T23:10:22Z","timestamp":1656889822000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07920-7_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031079191","9783031079207"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07920-7_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KMO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Management in Organizations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kmo2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/kmo2022.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","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":"24","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":"5","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":"39% - 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":"4","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)"}}]}}