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We study how\n            <jats:italic toggle=\"yes\">local edge dynamics<\/jats:italic>\n            can drive opinion polarization. In particular, we introduce a variant of the classic Friedkin-Johnsen opinion dynamics, augmented with a simple time-evolving network model. Edges are iteratively added or deleted according to simple rules, modeling decisions based on individual preferences and network recommendations.\n          <\/jats:p>\n          <jats:p>\n            Via simulations on synthetic and real-world graphs, we find that the combined presence of two dynamics gives rise to high polarization: (1)\n            <jats:italic toggle=\"yes\">confirmation bias<\/jats:italic>\n            \u2014i.e., the preference for nodes to connect to other nodes with similar expressed opinions and (2)\n            <jats:italic toggle=\"yes\">friend-of-friend link recommendations<\/jats:italic>\n            , which encourage new connections between closely connected nodes. We show that our model is tractable to theoretical analysis, which helps explain how these local dynamics erode connectivity across opinion groups, affecting polarization and a related measure of disagreement across edges. Finally, we validate our model against real-world data, showing that our edge dynamics drive the structure of arbitrary graphs, including random graphs, to more closely resemble real social networks. Our code and supplemental materials are available at\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/adamlechowicz\/opinion-polarization\/\">https:\/\/github.com\/adamlechowicz\/opinion-polarization\/<\/jats:ext-link>\n            .\n            <jats:sup>1<\/jats:sup>\n          <\/jats:p>","DOI":"10.1145\/3709006","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T22:27:45Z","timestamp":1734733665000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Local Edge Dynamics and Opinion Polarization"],"prefix":"10.1145","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2977-3448","authenticated-orcid":false,"given":"Nikita","family":"Bhalla","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Massachusetts Amherst, Amherst, Massachusetts, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7774-9939","authenticated-orcid":false,"given":"Adam","family":"Lechowicz","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Massachusetts Amherst, Amherst, Massachusetts, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2197-6806","authenticated-orcid":false,"given":"Cameron","family":"Musco","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Massachusetts Amherst, Amherst, Massachusetts, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,8,18]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_2_2","DOI":"10.1145\/3219819.3219983"},{"doi-asserted-by":"publisher","key":"e_1_3_2_3_2","DOI":"10.1145\/3383313.3412246"},{"doi-asserted-by":"publisher","key":"e_1_3_2_4_2","DOI":"10.1086\/590649"},{"issue":"3","key":"e_1_3_2_5_2","first-page":"205630511879772","article-title":"Social affect and political disagreement on social Media","volume":"4","author":"Barnidge Matthew","year":"2018","unstructured":"Matthew Barnidge. 2018. 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