Open AccessAnalysis and visualization of airport network to strengthen the economy
Author(s) -
P. Saleena,
P. Swetha,
D. Radha
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.9915
Subject(s) - centrality , node (physics) , social network analysis , path (computing) , work (physics) , computer science , network analysis , transport engineering , visualization , business , enhanced data rates for gsm evolution , economic geography , telecommunications , geography , computer network , engineering , world wide web , data mining , mathematics , social media , mechanical engineering , electrical engineering , structural engineering , combinatorics
The world’s eminent airports are directly or indirectly connected to many other airports. Every airport is considered as a node and the route can be considered as edge connecting them. The work analyzes the USA airport network using different centrality measures of social network analysis. The centrality measures calculated on airport network help in identication of certain characteristics of the airports. Some of the characteristics are like the busiest airport and the airports which inuence trade, alternate path, fastest route, nearest airports, etc. The characteristics helps to find the designated airports meant for improving the economy. The results of this paper say about the prominent communication and connections among the airports in the U.S.A. The tools used for the analysis are UCINET 6 and NetDraw.