{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/quantifying-multipolar-polarization","title":"Quantifying Multipolar Polarization","arxiv_id":"2405.16352","date":"2024-05-25","proceeding":null,"authors":["Christian Weidemann"],"abstract":"Studying and understanding social networks is crucial for accurately defining ideological polarization, since they enable precise modeling of social structures. One of the limitations of many methods for quantifying polarization on networks is the assumption of a two-dimensional opinion space. This prevents accurate study of multipolar systems like multi-party political systems, where modeling more than two opinion poles is beneficial. Here, I experimentally compare methods for quantifying multipolar polarization on a network and find that the average pairwise distance extension of generalized Euclidean distance conforms to several desired properties, showing its advantages over other methods. This allows the study of multipolar polarized systems based on an empirically and intuitively good metric.","url_abs":"https://arxiv.org/abs/2405.16352v2","url_pdf":"https://arxiv.org/pdf/2405.16352v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"quantifying-multipolar-polarization","repo_url":"https://github.com/christian-weidemann/quantifying-multipolar-polarization","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}