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arXiv 1503.05186math.PRmath.CO
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随机图上Jigsaw渗流的阈值

The threshold for jigsaw percolation on random graphs

Béla Bollobás, Oliver Riordan, Erik Slivken, Paul Smith

摘要:

拼图渗透是一个在社会网络中解决难题的过程模型,最近由Brummitt,Chatterjee,Dey和Sivakoff提出。在该模型中,在一个顶点集上有两个图(“人”图和“拼图”图),如果顶点由每个图的边连接,则顶点合并形成组件。如果每一个图都有一条边将它们连接起来,那么这些分支就合并成更大的分支,依此类推。如果这个过程以包含所有顶点的一个分支结束,那么就说发生了渗透。在本文中,我们确定的情况下,这两个图是Erdens-Rényi随机图的渗流到一个常数因子的阈值。

英文摘要:

Jigsaw percolation is a model for the process of solving puzzles within a social network, which was recently proposed by Brummitt, Chatterjee, Dey and Sivakoff. In the model there are two graphs on a single vertex set (the `people' graph and the `puzzle' graph), and vertices merge to form components if they are joined by an edge of each graph. These components then merge to form larger components if again there is an edge of each graph joining them, and so on. Percolation is said to occur if the process terminates with a single component containing every vertex. In this note we determine the threshold for percolation up to a constant factor, in the case where both graphs are Erdős--Rényi random graphs.

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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