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International Tourism Network

机译:国际旅游网

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摘要

The interest in tourism has always been strong, for its important role in economic flows among nations. On this study we analyze the arrivals of international tourism (edges) over 206 countries and territories (nodes) around the world, on the year 2004. International tourist arrivals reached a record of 763 million in 2004. We characterize analytically the topological and weighted properties of the resulting network. International tourist arrivals are analyzed over in strength and out strength flows, resulting on a highly directed network, with a very heterogeneity of weights and strengths. The inclusion of edge weights and directions on the analysis of network architecture allows a more realistic insight on the structure of the networks. Centrality, assortativity and disparity are measured for the topological and weighted structure. Assortativity measures the tendency of having a high weight edges connecting two nodes with similar degrees. ITN is disassortative, opposite to social network. Disparity quantifies the how similar are the flows on a node neighborhood, measuring the heterogeneity of weights for in flows and out flows of tourism. These results provide an application of the recent methods of weighted and directed networks, showing that weights are relevant and that in general the modeling of complex networks must go beyond topology. The network structure may influence how tourism hubs, distribution of flows, and centralization can be explored on countries strategic positioning and policy making.
机译:对旅游业的兴趣一直以来都很强烈,因为它在国家之间的经济流动中发挥着重要作用。在这项研究中,我们分析了2004年全球206个国家和地区(节点)的国际旅游(边缘)入境人数。2004年,国际游客入境人数达到创纪录的7.63亿。我们对拓扑和加权属性进行了分析生成的网络。对国际游客的入境人数进行了强度和强度分析,结果形成了一个高度定向的网络,其权重和强度非常不同。在网络体系结构分析中包括边缘权重和方向,可以对网络的结构进行更实际的了解。测量拓扑和加权结构的中心度,分类性和差异。分类性衡量了连接两个节点具有相似程度的高权重边缘的趋势。 ITN与社会网络相反,是分散的。差异量化了节点邻域上流量的相似程度,从而测量了旅游业流入和流出的权重的异质性。这些结果为加权和定向网络的最新方法提供了一种应用,表明权重是相关的,并且一般而言,复杂网络的建模必须超越拓扑。网络结构可能会影响如何在国家战略定位和政策制定上探索旅游枢纽,客流分配和集中化的方式。

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