2006Keji daobaoRequires access

A Collaboration Network Description on the Chinese Travel Route System

Da-Ren He

Open publisher page 1 citations

Abstract

We have studied the empirical statistical properties of Chinese travel route system with a viewpoint of complex network. The properties include the average path length, clustering coefficient, degree distribution, act size, act degree distribution, assortativity and other. We suggest that Chinese travel route network can be included in the so-called extended collaboration networks. We also propose a self-organizing developing model of Chinese travel route network. The simulation results based on the model are in quite good agreement with the empirical statistical results.

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What this paper is about

We have studied the empirical statistical properties of Chinese travel route system with a viewpoint of complex network. The properties include the average path length, clustering coefficient, degree distribution, act size, act degree distribution, assortativity and other. We suggest that Chinese travel route network can be included in the so-called extended collaboration networks. We also propose a self-organizing developing model of Chinese travel route network. The simulation results based on the model are in quite good agreement with the empirical statistical results.

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Available abstract

We have studied the empirical statistical properties of Chinese travel route system with a viewpoint of complex network. The properties include the average path length, clustering coefficient, degree distribution, act size, act degree distribution, assortativity and other. We suggest that Chinese travel route network can be included in the so-called extended collaboration networks. We also propose a self-organizing developing model of Chinese travel route network. The simulation results based on the model are in quite good agreement with the empirical statistical results.

Key concepts: Assortativity, Degree distribution, Clustering coefficient, Average path length, Computer science, Complex network, Cluster analysis, Degree (music)

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