多层航线聚合网络建模及相关性分析

为研究航空公司航线网络结构特征,基于复杂网络理论以机场为点,机场间的直通航线设边,建立由46个航空公司子网络聚合的多层航线网络模型,计算并分析其参数指标。结果表明:航空公司航线网络分布具有明显地域偏好性和较短平均路径长度;网络平均度与网络密度、聚集系数呈强正相关性,与平均路径长度有强负相关性;航线规模与网络直径无明显关系。聚合后的多层航线网络具有明显的小世界网络和无标度网络特性;节点度对网络指标影响最大,与网络中心性指标、介数呈强正相关,与点聚集系数和最短路径呈负相关性;介数与介数中心性具有强正相关,与特征向量有弱的负相关性;聚集系数与网络其他指标均呈负相关性;最短路径与网络接近中心性和特征向量中心性影响最大。

Multi-layer Route Aggregation Network Modelingand Correlation Analysis

In order to study the characteristics of China"s airline route network, based on the complex network theory, the airport is the point, the direct route between airports is set, and a multi-layer route network model aggregated by 46 airline sub-network layers is established, and the relevant data is used for empirical analysis. . The results show that the distribution of China"s airline route network has obvious regional preference and shorter average path length; the route network average has strong positive correlation with network density and aggregation coefficient, and has strong negative correlation with average path length; There is no obvious relationship with the diameter of the network. The aggregated multi-layer route network has obvious small-world network and scale-free network characteristics; node degree has the greatest impact on network indicators, strong positive correlation with network centrality index and median, and negative with point aggregation coefficient and shortest path Correlation; the median has a strong positive correlation with the median centrality, and has a weak negative correlation with the eigenvector; the aggregation coefficient is negatively correlated with other indicators of the network; the shortest path and the network close to the centrality and the centrality of the eigenvector maximum.