{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T10:33:58Z","timestamp":1776076438201,"version":"3.50.1"},"reference-count":32,"publisher":"Emerald","issue":"6\/7","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>\u2013 The purpose of this paper is to focus on the underpinning dynamics that explain collective intelligence.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>\u2013 Collective intelligence can be understood as the capacity of a collective system to evolve toward higher order complexity through networks of individual capacities. The authors observed two collective systems as examples of the dynamic processes of complex networks \u2013 the wiki course PeSO at the Universidad de Los Andes, Bogot\u00e1, Colombia, and an agent-based model inspired by wiki systems.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>\u2013 The results of the wiki course PeSO and the model are contrasted with a random network baseline model. Both the wiki course and the model show dynamics of accumulation, in which statistical properties of non-equilibrium networks appear.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>\u2013 The work is based on network science. The authors analyzed data from two kinds of networks: the wiki course PeSO and an agent-based model. Limitations due to the number of computations and complexity appeared when there was a high order of magnitude of agents.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>\u2013 Better understanding can allow for the measurement and design of systems based on collective intelligence.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>\u2013 The results show how collective intelligence emerges from cumulative dynamics.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-11-2014-0245","type":"journal-article","created":{"date-parts":[[2015,9,25]],"date-time":"2015-09-25T04:26:13Z","timestamp":1443155173000},"page":"1122-1133","source":"Crossref","is-referenced-by-count":12,"title":["Collective intelligence: analysis and modelling"],"prefix":"10.1108","volume":"44","author":[{"given":"Erika","family":"Su\u00e1rez Valencia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V\u00edctor","family":"Bucheli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberto","family":"Zarama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ngel","family":"Garcia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122320395458400_b1","doi-asserted-by":"crossref","unstructured":"Abazov, V.M. , Abbott, B. , Abdesselam, A. , Abolins, M. , Abramov, V. and Acharya, B.S. 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