{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T03:45:31Z","timestamp":1777434331749,"version":"3.51.4"},"reference-count":56,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T00:00:00Z","timestamp":1675728000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Argument &amp; Computation"],"published-print":{"date-parts":[[2023,11,7]]},"abstract":"<jats:p>We present a novel argumentation-based method for finding and analyzing communities in social media on the Web, where a community is regarded as a set of supported opinions that might be in conflict. Based on their stance, we identify argumentative coalitions to define them; then, we apply a similarity-based evaluation method over the set of arguments in the coalition to determine the level of cohesion inherent to each community, classifying them appropriately. Introducing conflict points and attacks between coalitions based on argumentative (dis)similarities to model the interaction between communities leads to considering a meta-argumentation framework where the set of coalitions plays the role of the set of arguments and where the attack relation between the coalitions is assigned a particular strength which is inherited from the arguments belonging to the coalition. Various semantics are introduced to consider attacks\u2019 strength to particularize the effect of the new perspective. Finally, we analyze a case study where all the elements of the formal construction of the formalism are exercised.<\/jats:p>","DOI":"10.3233\/aac-220006","type":"journal-article","created":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T11:24:51Z","timestamp":1675769091000},"page":"275-325","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Strength in coalitions: Community detection through argument similarity"],"prefix":"10.1177","volume":"14","author":[{"given":"Paola Daniela","family":"Bud\u00e1n","sequence":"first","affiliation":[{"name":"Faculty of Exact Sciences and Technologies, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina"},{"name":"Artificial Intelligence R&D Laboratory, Department of Computer Science and Engineering Universidad Nacional del Sur, Bah\u00eda Blanca, Argentina"},{"name":"Institute for Computer Science and Information Systems (ICSIS-UNSE), Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melisa Gisselle","family":"Esca\u00f1uela Gonzalez","sequence":"additional","affiliation":[{"name":"Faculty of Exact Sciences and Technologies, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina"},{"name":"Institute for Computer Science and Information Systems (ICSIS-UNSE), Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximiliano Celmo David","family":"Bud\u00e1n","sequence":"additional","affiliation":[{"name":"Faculty of Exact Sciences and Technologies, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina"},{"name":"Institute for Computer Science and Engineering (CONICET-UNS), Buenos Aires-Bah\u00eda Blanca, Argentina"},{"name":"Argentine National Council of Scientific and Technical Research (CONICET), Buenos Aires, Argentina"},{"name":"Institute for Computer Science and Information Systems (ICSIS-UNSE), Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Vanina","family":"Martinez","sequence":"additional","affiliation":[{"name":"Argentine National Council of Scientific and Technical Research (CONICET), Buenos Aires, Argentina"},{"name":"Institute for Computer Science Research (CONICET-UBA), Buenos Aires, Argentina"},{"name":"Department of Computer Science, Universidad de Buenos Aires (UBA), Buenos Aires, Argentina"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guillermo Ricardo","family":"Simari","sequence":"additional","affiliation":[{"name":"Artificial Intelligence R&D Laboratory, Department of Computer Science and Engineering Universidad Nacional del Sur, Bah\u00eda Blanca, Argentina"},{"name":"Institute for Computer Science and Engineering (CONICET-UNS), Buenos 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