Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community

The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample is a set of academic Web sites from the countries belonging t...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	arXiv.org 2007-07
1. Verfasser:	Polanco, Xavier
Format:	Artikel
Sprache:	eng
Schlagworte:	Cluster analysis Computer networks Empirical analysis Graph theory Graphical representations Graphs Internet Knowledge management Knowledge representation Network analysis Social network analysis Social networks Structural analysis Virtual communities Virtual networks Websites
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue
container_start_page
container_title	arXiv.org
container_volume
creator	Polanco, Xavier
description	The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample is a set of academic Web sites from the countries belonging to the European Union. These clusters are here revisited from the point of view of graph theory and social network analysis. This is a quantitative and structural analysis. In fact, the Internet is a computer network that connects people and organizations. Thus we may consider it to be a social network. The set of Web academic sites represents an empirical social network, and is viewed as a virtual community. The network structural properties are here analysed applying together cluster analysis, graph theory and social network analysis.
format	Article
fullrecord	<record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2092510037</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2092510037</sourcerecordid><originalsourceid>FETCH-proquest_journals_20925100373</originalsourceid><addsrcrecordid>eNqNjU0PATEUABuJhLD_4SWuNqnWWo6y8XVxIRyl6FKqXX2vEf_eHrg7zWEmmQZrCykH6XgoRIsliDfOuRjlIstkm9nCRiQdsA-LoKprTeXOsNb08uGOUPoAU6fsG427wMrVqdOU7vUx3cSq8oH0GQr_eERnToqMd_AydDUOFOxMoKjsT9O7y5qlsqiTLzusN59ti2VaBf-MGulw8zHUNzwIPhHZgHOZy_-qD6bpSZc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2092510037</pqid></control><display><type>article</type><title>Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community</title><source>Free E- Journals</source><creator>Polanco, Xavier</creator><creatorcontrib>Polanco, Xavier</creatorcontrib><description>The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample is a set of academic Web sites from the countries belonging to the European Union. These clusters are here revisited from the point of view of graph theory and social network analysis. This is a quantitative and structural analysis. In fact, the Internet is a computer network that connects people and organizations. Thus we may consider it to be a social network. The set of Web academic sites represents an empirical social network, and is viewed as a virtual community. The network structural properties are here analysed applying together cluster analysis, graph theory and social network analysis.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Cluster analysis ; Computer networks ; Empirical analysis ; Graph theory ; Graphical representations ; Graphs ; Internet ; Knowledge management ; Knowledge representation ; Network analysis ; Social network analysis ; Social networks ; Structural analysis ; Virtual communities ; Virtual networks ; Websites</subject><ispartof>arXiv.org, 2007-07</ispartof><rights>Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at http://arxiv.org/abs/0707.1452.</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>776,780</link.rule.ids></links><search><creatorcontrib>Polanco, Xavier</creatorcontrib><title>Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community</title><title>arXiv.org</title><description>The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample is a set of academic Web sites from the countries belonging to the European Union. These clusters are here revisited from the point of view of graph theory and social network analysis. This is a quantitative and structural analysis. In fact, the Internet is a computer network that connects people and organizations. Thus we may consider it to be a social network. The set of Web academic sites represents an empirical social network, and is viewed as a virtual community. The network structural properties are here analysed applying together cluster analysis, graph theory and social network analysis.</description><subject>Cluster analysis</subject><subject>Computer networks</subject><subject>Empirical analysis</subject><subject>Graph theory</subject><subject>Graphical representations</subject><subject>Graphs</subject><subject>Internet</subject><subject>Knowledge management</subject><subject>Knowledge representation</subject><subject>Network analysis</subject><subject>Social network analysis</subject><subject>Social networks</subject><subject>Structural analysis</subject><subject>Virtual communities</subject><subject>Virtual networks</subject><subject>Websites</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNjU0PATEUABuJhLD_4SWuNqnWWo6y8XVxIRyl6FKqXX2vEf_eHrg7zWEmmQZrCykH6XgoRIsliDfOuRjlIstkm9nCRiQdsA-LoKprTeXOsNb08uGOUPoAU6fsG427wMrVqdOU7vUx3cSq8oH0GQr_eERnToqMd_AydDUOFOxMoKjsT9O7y5qlsqiTLzusN59ti2VaBf-MGulw8zHUNzwIPhHZgHOZy_-qD6bpSZc</recordid><startdate>20070710</startdate><enddate>20070710</enddate><creator>Polanco, Xavier</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20070710</creationdate><title>Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community</title><author>Polanco, Xavier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_20925100373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Cluster analysis</topic><topic>Computer networks</topic><topic>Empirical analysis</topic><topic>Graph theory</topic><topic>Graphical representations</topic><topic>Graphs</topic><topic>Internet</topic><topic>Knowledge management</topic><topic>Knowledge representation</topic><topic>Network analysis</topic><topic>Social network analysis</topic><topic>Social networks</topic><topic>Structural analysis</topic><topic>Virtual communities</topic><topic>Virtual networks</topic><topic>Websites</topic><toplevel>online_resources</toplevel><creatorcontrib>Polanco, Xavier</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Polanco, Xavier</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community</atitle><jtitle>arXiv.org</jtitle><date>2007-07-10</date><risdate>2007</risdate><eissn>2331-8422</eissn><abstract>The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Clusters, graphs and networks provide knowledge representation and organization. Clusters were generated by co-site analysis. The sample is a set of academic Web sites from the countries belonging to the European Union. These clusters are here revisited from the point of view of graph theory and social network analysis. This is a quantitative and structural analysis. In fact, the Internet is a computer network that connects people and organizations. Thus we may consider it to be a social network. The set of Web academic sites represents an empirical social network, and is viewed as a virtual community. The network structural properties are here analysed applying together cluster analysis, graph theory and social network analysis.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record>
fulltext	fulltext
identifier	EISSN: 2331-8422
ispartof	arXiv.org, 2007-07
issn	2331-8422
language	eng
recordid	cdi_proquest_journals_2092510037
source	Free E- Journals
subjects	Cluster analysis Computer networks Empirical analysis Graph theory Graphical representations Graphs Internet Knowledge management Knowledge representation Network analysis Social network analysis Social networks Structural analysis Virtual communities Virtual networks Websites
title	Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T13%3A49%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Clusters,%20Graphs,%20and%20Networks%20for%20Analysing%20Internet-Web-Supported%20Communication%20within%20a%20Virtual%20Community&rft.jtitle=arXiv.org&rft.au=Polanco,%20Xavier&rft.date=2007-07-10&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2092510037%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2092510037&rft_id=info:pmid/&rfr_iscdi=true