Web graph analysis of the air traffic safety community

dc.creator	Kovačević, Miloš
dc.date.accessioned	2019-04-19T14:26:31Z
dc.date.available	2019-04-19T14:26:31Z
dc.date.issued	2016
dc.identifier.uri	https://grafar.grf.bg.ac.rs/handle/123456789/810
dc.description.abstract	The structure and properties of the web graph originating from the air traffic safety community could reveal many interesting relationships which exist between key organizations in the field. Therefore, an attempt is made to collect a representative sample of relevant web pages from different sources, by utilizing an intelligent software agent capable of recognizing the concept of a typical air traffic safety page. Starting from a seed set of thirty relevant pages, the agent collected nearly 200,000 on-topic pages and recorded the links between them. The analysis of the compiled graph detected the most relevant pages and sites, common linking patterns and popular keywords used for titles and links texts.	en
dc.rights	restrictedAccess
dc.source	Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte)
dc.subject	web graph	en
dc.subject	focused crawling	en
dc.subject	air traffic safety	en
dc.title	Web graph analysis of the air traffic safety community	en
dc.type	conferenceObject
dc.rights.license	ARR
dc.citation.epage	6
dc.citation.other	: 1-6
dc.citation.spage	1
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_grafar_810
dc.identifier.wos	000391016300001
dc.type.version	publishedVersion