标题： 注意：基于距离的网络分区 显示英文标题

标题： Note: Distance-Based Network Partitioning

摘要： 提出了一种识别网络中软社区的新方法。 参考节点通过利用关于网络的先验信息或根据相关节点测量结果获得。 然后使用每个网络节点与参考节点之间的距离向量来定义一个表示网络在许多不同尺度下的社区结构的多维坐标系。 对于模块化网络，此空间中的节点分布通常会导致一个分离良好的聚类结构，每个聚类对应一个社区。 该方法的潜力通过空间网络模型和Zachary的空手道俱乐部网络进行了说明。 显示英文摘要

摘要： A new method for identifying soft communities in networks is proposed. Reference nodes, either selected using a priori information about the network or according to relevant node measurements, are obtained. Distance vectors between each network node and the reference nodes are then used for defining a multidimensional coordinate system representing the community structure of the network at many different scales. For modular networks, the distribution of nodes in this space often results in a well-separated clustered structure, with each cluster corresponding to a community. The potential of the method is illustrated with respect to a spatial network model and the Zachary's karate club network.