Polarization in Networks: Identification-alienation Framework
We introduce a model of polarization in networks as a unifying framework for the measurement of polarization that covers a wide range of applications. We consider a sufficiently general setup for this purpose: node- and edge-weighted, undirected, and connected networks. We generalize the axiomatic c...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Huremovic, Kenan Ozkes, Ali |
description | We introduce a model of polarization in networks as a unifying framework for
the measurement of polarization that covers a wide range of applications. We
consider a sufficiently general setup for this purpose: node- and
edge-weighted, undirected, and connected networks. We generalize the axiomatic
characterization of Esteban and Ray (1994) and show that only a particular
instance within this class can be used justifiably to measure polarization in
networks. |
doi_str_mv | 10.48550/arxiv.2007.07061 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2007_07061</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2007_07061</sourcerecordid><originalsourceid>FETCH-LOGICAL-a671-d52f2fab5876613a78a427c5e1dd9f56a43321048e47dba3784cf9ba2cd55c053</originalsourceid><addsrcrecordid>eNotj8uKwkAURHszC9H5AFfmBxL7dbtbYRYi4wPEmYX7cNMPaIyJtMEZ_XoxuqpFHYo6hIwZLaQBoFNM__FacEp1QTVVbEC-ftsaU7xjF9smi022991fm46XebZ1vuliiLbvcqyjb17YKuHJP6kR-QhYX_znO4fksPo-LDf57me9XS52OSrNcgc88IAVGK0UE6gNSq4teObcLIBCKQRnVBovtatQaCNtmFXIrQOwFMSQTF6z_f_ynOIJ0618epS9h3gAiwxDRQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Polarization in Networks: Identification-alienation Framework</title><source>arXiv.org</source><creator>Huremovic, Kenan ; Ozkes, Ali</creator><creatorcontrib>Huremovic, Kenan ; Ozkes, Ali</creatorcontrib><description>We introduce a model of polarization in networks as a unifying framework for
the measurement of polarization that covers a wide range of applications. We
consider a sufficiently general setup for this purpose: node- and
edge-weighted, undirected, and connected networks. We generalize the axiomatic
characterization of Esteban and Ray (1994) and show that only a particular
instance within this class can be used justifiably to measure polarization in
networks.</description><identifier>DOI: 10.48550/arxiv.2007.07061</identifier><language>eng</language><subject>Computer Science - Social and Information Networks</subject><creationdate>2020-07</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2007.07061$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2007.07061$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Huremovic, Kenan</creatorcontrib><creatorcontrib>Ozkes, Ali</creatorcontrib><title>Polarization in Networks: Identification-alienation Framework</title><description>We introduce a model of polarization in networks as a unifying framework for
the measurement of polarization that covers a wide range of applications. We
consider a sufficiently general setup for this purpose: node- and
edge-weighted, undirected, and connected networks. We generalize the axiomatic
characterization of Esteban and Ray (1994) and show that only a particular
instance within this class can be used justifiably to measure polarization in
networks.</description><subject>Computer Science - Social and Information Networks</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8uKwkAURHszC9H5AFfmBxL7dbtbYRYi4wPEmYX7cNMPaIyJtMEZ_XoxuqpFHYo6hIwZLaQBoFNM__FacEp1QTVVbEC-ftsaU7xjF9smi022991fm46XebZ1vuliiLbvcqyjb17YKuHJP6kR-QhYX_znO4fksPo-LDf57me9XS52OSrNcgc88IAVGK0UE6gNSq4teObcLIBCKQRnVBovtatQaCNtmFXIrQOwFMSQTF6z_f_ynOIJ0618epS9h3gAiwxDRQ</recordid><startdate>20200714</startdate><enddate>20200714</enddate><creator>Huremovic, Kenan</creator><creator>Ozkes, Ali</creator><scope>ADEOX</scope><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20200714</creationdate><title>Polarization in Networks: Identification-alienation Framework</title><author>Huremovic, Kenan ; Ozkes, Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a671-d52f2fab5876613a78a427c5e1dd9f56a43321048e47dba3784cf9ba2cd55c053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Huremovic, Kenan</creatorcontrib><creatorcontrib>Ozkes, Ali</creatorcontrib><collection>arXiv Economics</collection><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Huremovic, Kenan</au><au>Ozkes, Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polarization in Networks: Identification-alienation Framework</atitle><date>2020-07-14</date><risdate>2020</risdate><abstract>We introduce a model of polarization in networks as a unifying framework for
the measurement of polarization that covers a wide range of applications. We
consider a sufficiently general setup for this purpose: node- and
edge-weighted, undirected, and connected networks. We generalize the axiomatic
characterization of Esteban and Ray (1994) and show that only a particular
instance within this class can be used justifiably to measure polarization in
networks.</abstract><doi>10.48550/arxiv.2007.07061</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.48550/arxiv.2007.07061 |
ispartof | |
issn | |
language | eng |
recordid | cdi_arxiv_primary_2007_07061 |
source | arXiv.org |
subjects | Computer Science - Social and Information Networks |
title | Polarization in Networks: Identification-alienation Framework |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T23%3A01%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Polarization%20in%20Networks:%20Identification-alienation%20Framework&rft.au=Huremovic,%20Kenan&rft.date=2020-07-14&rft_id=info:doi/10.48550/arxiv.2007.07061&rft_dat=%3Carxiv_GOX%3E2007_07061%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |