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Computation of Graphlet Orbits for Nodes and Edges in Sparse Graphs

机译:稀疏图中节点和边的Graphlet轨道的计算

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Graphlet analysis is a useful tool for describing local network topology around individual nodes or edges. A node or an edge can be described by a vector containing the counts of different kinds of graphlets (small induced subgraphs) in which it appears, or the "roles" (orbits) it has within these graphlets. We implemented an R package with functions for fast computation of such counts on sparse graphs. Instead of enumerating all induced graphlets, our algorithm is based on the derived relations between the counts, which decreases the time complexity by an order of magnitude in comparison with past approaches.
机译:Graphlet分析是描述单个节点或边缘周围的本地网络拓扑的有用工具。节点或边可以由包含其出现在其中的不同种类的小图(诱导的小子图)的数量或它们在这些小图中具有的“角色”(轨道)的向量来描述。我们实现了具有功能的R包,可在稀疏图上快速计算此类计数。我们的算法不是枚举所有诱导图,而是基于计数之间的派生关系,与过去的方法相比,它使时间复杂度降低了一个数量级。

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