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arXiv 1808.05166math.CO
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生成具有对称性的图

Generating Graphs with Symmetry

Isaac Klickstein, Francesco Sorrentino

摘要:

在复杂网络和图论领域,新的结果通常在由各种算法生成的图上进行测试,例如Erdens-Rényi模型或Barabási-Albert模型。不幸的是,大多数图生成算法通常不创建具有对称性的图,这已被证明对网络动态具有重要作用。在这里,我们提出了一个算法来生成具有指定对称性的图。该算法也可以用于生成具有规定的公平划分但可能没有任何对称性的图。我们还使用我们的图形生成器来检查最近提出的问题的自同构群的轨道和图形的最小公平分区之间的关系。

英文摘要:

In the field of complex networks and graph theory, new results are typically tested on graphs generated by a variety of algorithms such as the Erdős-Rényi model or the Barabási-Albert model. Unfortunately, most graph generating algorithms do not typically create graphs with symmetries, which have been shown to have an important role on the network dynamics. Here, we present an algorithm to generate graphs with prescribed symmetries. The algorithm can also be used to generate graphs with a prescribed equitable partition but possibly without any symmetry. We also use our graph generator to examine the recently raised question about the relation between the orbits of the automorphism group and a graph's minimal equitable partition.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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