Travel and tourism: Into a complex network

Abstract

It is discussed how the worldwide tourist arrivals, about 10% of world's domestic product, form a largely heterogeneous and directed complex network. Remarkably the random network of connectivity is converted into a scale-free network of intensities. The importance of weights on network connections is brought into discussion. It is also shown how strategic positioning particularly benefit from market diversity and that interactions among countries prevail on a technological and economic pattern, questioning the backbones of traveling driving forces.

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• Geo-located Twitter as the proxy for global mobility patterns
• An evolving model for the supply network in a tourism destination
• Impact of Inter-Country Distances on International Tourism
• The network structure of visited locations according to geotagged social media photos
• Agent-based simulations of China inbound tourism network
• Single Polygon Counting for $m$ Fixed Nodes in Cayley Tree: Two Extremal Cases