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.
Keywords:
web graph / focused crawling / air traffic safety
Source:
Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte), 2016, 1-6
TY - CONF
AU - Kovačević, Miloš
PY - 2016
UR - https://grafar.grf.bg.ac.rs/handle/123456789/810
AB - 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.
C3 - Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte)
T1 - Web graph analysis of the air traffic safety community
EP - 6
SP - 1
UR - https://hdl.handle.net/21.15107/rcub_grafar_810
ER -
@conference{
author = "Kovačević, Miloš",
year = "2016",
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.",
journal = "Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte)",
title = "Web graph analysis of the air traffic safety community",
pages = "6-1",
url = "https://hdl.handle.net/21.15107/rcub_grafar_810"
}
Kovačević, M.. (2016). Web graph analysis of the air traffic safety community. in Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte), 1-6.
https://hdl.handle.net/21.15107/rcub_grafar_810
Kovačević M. Web graph analysis of the air traffic safety community. in Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte). 2016;:1-6.
https://hdl.handle.net/21.15107/rcub_grafar_810 .
Kovačević, Miloš, "Web graph analysis of the air traffic safety community" in Proceedings of the Third International Conference On Traffic and Transport Engineering (Ictte) (2016):1-6,
https://hdl.handle.net/21.15107/rcub_grafar_810 .
