{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T06:13:36Z","timestamp":1768457616314,"version":"3.49.0"},"reference-count":23,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2010,2]]},"abstract":"<jats:p> This paper examines the interplay of opinion exchange dynamics and communication network formation. An opinion formation procedure is introduced which is based on an abstract representation of opinions as k-dimensional bit-strings. Individuals interact if the difference in the opinion strings is below a defined similarity threshold d<jats:sub>I<\/jats:sub>. Depending on d<jats:sub>I<\/jats:sub>, different behavior of the population is observed: low values result in a state of highly fragmented opinions and higher values yield consensus. The first contribution of this research is to identify the values of parameters d<jats:sub>I<\/jats:sub> and k, such that the transition between fragmented opinions and homogeneity takes place. Then, we look at this transition from two perspectives: first by studying the group size distribution and second by analyzing the communication network that is formed by the interactions that take place during the simulation. The emerging networks are classified by statistical means and we find that nontrivial social structures emerge from simple rules for individual communication. Generating networks allows to compare model outcomes with real-world communication patterns. <\/jats:p>","DOI":"10.1142\/s0219525910002438","type":"journal-article","created":{"date-parts":[[2010,3,26]],"date-time":"2010-03-26T07:21:32Z","timestamp":1269588092000},"page":"95-111","source":"Crossref","is-referenced-by-count":25,"title":["OPINION DYNAMICS AND COMMUNICATION NETWORKS"],"prefix":"10.1142","volume":"13","author":[{"given":"SVEN","family":"BANISCH","sequence":"first","affiliation":[{"name":"Institute for Complexity Science (ICC), 1649-026 Lisbon, Portugal"},{"name":"Faculty of Media, Bauhaus\u2013University Weimar, D-99421 Weimar, Germany"},{"name":"Research Unit on Complexity in Economics (UECE), ISEG, TULisbon, 1200-781 Lisbon, Portugal"}]},{"given":"TANYA","family":"ARA\u00daJO","sequence":"additional","affiliation":[{"name":"Institute for Complexity Science (ICC), 1649-026 Lisbon, Portugal"},{"name":"Research Unit on Complexity in Economics (UECE), ISEG, TULisbon, 1200-781 Lisbon, Portugal"}]},{"given":"JORGE","family":"LOU\u00c7\u00c3","sequence":"additional","affiliation":[{"name":"Institute for Complexity Science (ICC), 1649-026 Lisbon, Portugal"},{"name":"Laboratory of Agent Modelling (LabMAg), ISCTE, 1649-026 Lisbon, Portugal"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.74.47"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-4371(04)00858-1"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2007.10.042"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1142\/S0219525909002180"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1177\/0022002797041002001"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.81.591"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.85.3536"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1090\/cbms\/107"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1142\/S0219525900000078"},{"key":"rf13","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1609\/aimag.v29i3.2163","volume":"29","author":"desJardins M.","journal-title":"AI Mag."},{"key":"rf14","volume-title":"Remarks on the Foundations of Agent-Based Generative Social Science","author":"Epstein J. 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