{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:11:52Z","timestamp":1743034312368,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030527044"},{"type":"electronic","value":"9783030527051"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-52705-1_31","type":"book-chapter","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T23:19:19Z","timestamp":1594077559000},"page":"416-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Overlapping Community Detection Using Multi-objective Approach and Rough Clustering"],"prefix":"10.1007","author":[{"given":"Darian Horacio","family":"Grass-Boada","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Airel","family":"P\u00e9rez-Su\u00e1rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leticia","family":"Arco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Bello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro","family":"Rosete","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,7]]},"reference":[{"key":"31_CR1","doi-asserted-by":"crossref","unstructured":"Maivizhi, R., Sendhilkumar, S., Mahalakshmi, G.S.: A survey of tools for community detection and mining in social networks. In: Proceedings of the International Conference on Informatics and Analytics. ACM (2016)","DOI":"10.1145\/2980258.2980408"},{"issue":"2","key":"31_CR2","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1016\/j.asoc.2011.10.005","volume":"12","author":"C Shi","year":"2012","unstructured":"Shi, C., Yan, Z., Cai, Y., Wu, B.: Multi-objective community detection in complex networks. Appl. Soft Comput. 12(2), 850\u2013859 (2012)","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"31_CR3","doi-asserted-by":"publisher","first-page":"033015","DOI":"10.1088\/1367-2630\/11\/3\/033015","volume":"11","author":"A Lancichinetti","year":"2009","unstructured":"Lancichinetti, A., Fortunato, S., Kertesz, J.: Detecting the overlapping and hierarchical community structure of complex networks. New J. Phys. 11(3), 033015 (2009)","journal-title":"New J. Phys."},{"key":"31_CR4","doi-asserted-by":"crossref","unstructured":"Lancichinetti, A., Fortunato, S., Radicchi, F.: Benchmark graphs for testing community detection algorithms. Phys. Rev. E 78(4), 046110 (2008)","DOI":"10.1103\/PhysRevE.78.046110"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Liu, J., Zhong, W., Abbass, H., Green, D.G.: Separated and overlapping community detection in complex networks using multiobjective evolutionary algorithms. In: IEEE Congress on Evolutionary Computation (CEC), (2010)","DOI":"10.1109\/CEC.2010.5586522"},{"key":"31_CR6","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1038\/nature03607","volume":"435","author":"G Palla","year":"2005","unstructured":"Palla, G., Der\u00e9nyi, I., Farkas, I., Vicsek, T.: Uncovering the overlapping community structure of complex networks in nature and society. Nature 435, 814\u2013818 (2005)","journal-title":"Nature"},{"issue":"4","key":"31_CR7","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s11047-015-9529-y","volume":"15","author":"C Liu","year":"2015","unstructured":"Liu, C., Liu, J., Jiang, Z.: An improved multi-objective evolutionary algorithm for simultaneously detecting separated and overlapping communities. Int. Nat. Comput. 15(4), 635\u2013651 (2015). https:\/\/doi.org\/10.1007\/s11047-015-9529-y","journal-title":"Int. Nat. Comput."},{"key":"31_CR8","first-page":"363","volume":"21","author":"X Wen","year":"2016","unstructured":"Wen, X., et al.: A maximal clique based multiobjective evolutionary algorithm for overlapping community detection. IEEE Trans. Evol. Comput. 21, 363\u2013377 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"31_CR9","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1007\/s40314-015-0260-1","volume":"36","author":"Z Yuxin","year":"2015","unstructured":"Yuxin, Z., Shenghong, L., Feng, J.: Overlapping community detection in complex networks using multi-objective evolutionary algorithm. Comput. Appl. Math. 36(1), 749\u2013768 (2015). https:\/\/doi.org\/10.1007\/s40314-015-0260-1","journal-title":"Comput. Appl. Math."},{"issue":"8","key":"31_CR10","doi-asserted-by":"publisher","first-page":"1706","DOI":"10.1016\/j.physa.2008.12.021","volume":"388","author":"H Shen","year":"2009","unstructured":"Shen, H., Cheng, X., Cai, K., Hu, M.B.: Detect overlapping and hierarchical community structure in networks. Phys. A Stat. Mech. Appl. 388(8), 1706\u20131712 (2009)","journal-title":"Phys. A Stat. Mech. Appl."},{"issue":"1","key":"31_CR11","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/TEVC.2013.2260862","volume":"18","author":"M Gong","year":"2014","unstructured":"Gong, M., Cai, Q., Chen, X., Ma, L.: Complex network clustering by multiobjective discrete particle swarm optimisation based on decomposition. IEEE Trans. Evol. Comput. 18(1), 82\u201397 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"31_CR12","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1109\/TSMCB.2005.863371","volume":"36","author":"A Zhou","year":"2006","unstructured":"Zhou, A., Qu, B.Y., Li, H., Zhao, S.Z., Suganthan, P.N., Zhang, Q.: Rough-fuzzy collaborative clustering. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 36(4), 795\u2013805 (2006)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"issue":"1","key":"31_CR13","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.ijar.2013.05.007","volume":"55","author":"P Lingras","year":"2014","unstructured":"Lingras, P., Chen, M., Miao, D.: Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations. Int. J. Approximate Reasoning 55(1), 238\u2013258 (2014)","journal-title":"Int. J. Approximate Reasoning"},{"key":"31_CR14","series-title":"Advanced Information and Knowledge Processing","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/978-1-4471-2760-4_2","volume-title":"Rough Sets: Selected Methods and Applications in Management and Engineering","author":"P Lingras","year":"2012","unstructured":"Lingras, P., Chen, M., Miao, D.: Applying rough set concepts to clustering. In: Peters, G., Lingras, P., \u015alezak, D., Yao, Y. (eds.) Rough Sets: Selected Methods and Applications in Management and Engineering. Advanced Information and Knowledge Processing, pp. 23\u201337. Springer, London (2012). https:\/\/doi.org\/10.1007\/978-1-4471-2760-4_2"},{"key":"31_CR15","unstructured":"Lingras, P., West, C.: Interval set clustering of Web users with rough k-means. Technical Report No. 2002\u2013002, Department of Mathematics and Computer Science, St. Mary\u2019s University, Halifax, Canada (2002)"},{"key":"31_CR16","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/978-3-030-10463-4_13","volume-title":"Uncertainty Management with Fuzzy and Rough Sets","author":"DH Grass-Boada","year":"2019","unstructured":"Grass-Boada, D.H., P\u00e9rez-Su\u00e1rez, A., Bello, R., Rosete, A.: Multiobjective overlapping community detection algorithms using granular computing. In: Bello, R., Falcon, R., Verdegay, J.L. (eds.) Uncertainty Management with Fuzzy and Rough Sets. SFSC, vol. 377, pp. 233\u2013256. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-10463-4_13"},{"key":"31_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-3534-4","volume-title":"Rough Sets: Theoretical Aspects of Reasoning About Data","author":"Z Pawlak","year":"1991","unstructured":"Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic, Dordrecht (1991)"},{"key":"31_CR18","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.ins.2006.06.006","volume":"177","author":"Z Pawlak","year":"2006","unstructured":"Pawlak, Z., Andrzej, S.: Rough sets: some extensions. Inf. Sci. 177, 28\u201340 (2006)","journal-title":"Inf. Sci."},{"issue":"2","key":"31_CR19","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1080\/10798587.1996.10750660","volume":"2","author":"YY Yao","year":"1996","unstructured":"Yao, Y.Y., Lin, T.Y.: Generalization of rough sets using modal logic. Intell. Autom. Soft Comput. 2(2), 103\u2013120 (1996)","journal-title":"Intell. Autom. Soft Comput."},{"issue":"12","key":"31_CR20","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1016\/j.patrec.2004.05.007","volume":"25","author":"S Mitra","year":"2004","unstructured":"Mitra, S.: An evolutionary rough partitive clustering. Pattern Recogn. Lett. 25(12), 1439\u20131449 (2004)","journal-title":"Pattern Recogn. Lett."},{"key":"31_CR21","unstructured":"Mitra, S.: Granular computing: basic issues and possible solutions. In: Proceedings of the 5th Joint Conference on Information Sciences, no. 1, pp. 186\u2013189 (2000)"},{"issue":"2","key":"31_CR22","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1109\/69.842271","volume":"12","author":"R Slowinski","year":"2000","unstructured":"Slowinski, R., Vanderpooten, D.: A generalized definition of rough approximations based on similarity. IEEE Trans. Knowl. Data Eng. 12(2), 331\u2013336 (2000)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"6","key":"31_CR23","doi-asserted-by":"publisher","first-page":"e98679","DOI":"10.1371\/journal.pone.0099523","volume":"9","author":"J Mathieu","year":"2014","unstructured":"Mathieu, J., Tommaso, V., Sebastien, H., Mathieu, B.: ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the Gephi software. PLoS ONE 9(6), e98679 (2014)","journal-title":"PLoS ONE"}],"container-title":["Lecture Notes in Computer Science","Rough Sets"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-52705-1_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:08:08Z","timestamp":1710266888000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-52705-1_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030527044","9783030527051"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-52705-1_31","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":"7 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IJCRS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Rough Sets","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Havana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","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":"29 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijcrs2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ijcrs.cujae.edu.cu","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","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":"37","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":"0","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":"74% - 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":"2.84","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":"3","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":"The conference was held virtually due to the 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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}