论文标题
复杂网络中的最短路径:结构和优化
Shortest Paths in Complex Networks: Structure and Optimization
论文作者
论文摘要
在复杂网络的几种拓扑特性中,最短的路径代表了一个特别重要的特征,因为它的潜在影响不仅对其他拓扑特性,而且主要是因为它对网络上发生的几个动态过程的影响。此外,几种实际情况,例如城市中的过境,可以通过修改网络来受益,以减少各自的最短路径。在目前的工作中,我们解决了试图通过根据不同策略添加给定数量的链接来减少几个理论和实际复杂网络的平均最短路径的问题。更具体地说,我们认为:在相对较低和高度的节点之间建立新的链接;提高网络的程度规律性;根据程度的优惠依恋;将节点与相对较低和高的中心性联系起来;并将节点与相对较低/低,低/高和高/高访问性链接。已经获得了几个有趣的结果,包括识别基于可访问性的策略,即提供了平均最短路径长度的最大减少。另一个有趣的发现是,对于几种类型的网络,基于学位的方法倾向于提供与使用更昂贵的计算中心中心度测量相当的改进。
Among the several topological properties of complex networks, the shortest path represents a particularly important characteristic because of its potential impact not only on other topological properties, but mainly for its influence on several dynamical processes taking place on the network. In addition, several practical situations, such as transit in cities, can benefit by modifying a network so as to reduce the respective shortest paths. In the present work, we addressed the problem of trying to reduce the average shortest path of several theoretical and real-world complex networks by adding a given number of links according to different strategies. More specifically, we considered: placing new links between nodes with relatively low and high degrees; to enhance the degree regularity of the network; preferential attachment according to the degree; linking nodes with relatively low and high betweenness centrality; and linking nodes with relatively low/low, low/high, and high/high accessibilities. Several interesting results have been obtained, including the identification of the accessibility-based strategies as providing the largest reduction of the average shortest path length. Another interesting finding is that, for several types of networks, the degree-based methods tend to provide improvements comparable to those obtained by using the much more computationally expensive betweenness centrality measurement.