Mathematics Analysis of the Chinese Ship-container-transportation Networks Properties



The logistics hub degree properties of Chinese ship-container-transportation networks is studied by the networks complexity theory and method analysis in this paper. Furthermore, the container of Chinese ship-container-transportation networks logistics hub degree is combined by actual shipping conditions. Especially, the degrees, weights characteristics and modular properties are mainly studied for Chinese ship-container-transportation networks. This research on logistics hub degree and weight characteristics can improve daily economic benefits. With 30 per cent of Chinese trade container carried by sea and with 85 percent of world trade carried by sea, the most important hub nodes of Chinese ship-container-transportation networks. Here, we use information about the itineraries of 22357 ships during the year 2016 to construct a network of links between seaports. The network has several features that set it apart from other transportation networks are shown. Container ships follow regularly repeating paths whereas bulk dry carriers and oil tankers move less predictably between seaports. The Chinese Ship-container-transportation Network possesses a heavy-tailed distribution for the connectivity of seaports and for the container loads transportation on the links weights. The data analyzed in this paper improve understanding current global trade by the container ship. We also study the trade flow degree and weight of Chinese ship-container -transport networks (CSCTN) based on the weighted network representation, and demonstrate the weight distribution can be described by power-law or exponential function depending on the assumed definition of network topology. Other features related to Chinese ship-container-transport networks (CSCTN) are also investigated.


Mathematics analysis, The networks properties, Chinese ship-transport networks


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