The threshold for jigsaw percolation on random graphs

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...

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Автори: Bollobás, B, Riordan, O, Slivken, E, Smith, P
Формат: Journal article
Опубліковано: Electronic Journal of Combinatorics 2017
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author Bollobás, B
Riordan, O
Slivken, E
Smith, P
author_facet Bollobás, B
Riordan, O
Slivken, E
Smith, P
author_sort Bollobás, B
collection OXFORD
description 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 Erd˝os–R´enyi random graphs.
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spelling oxford-uuid:a587b64f-8e3f-4806-904d-6ca8449034362022-03-27T02:41:07ZThe threshold for jigsaw percolation on random graphsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a587b64f-8e3f-4806-904d-6ca844903436Symplectic Elements at OxfordElectronic Journal of Combinatorics2017Bollobás, BRiordan, OSlivken, ESmith, PJigsaw 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 Erd˝os–R´enyi random graphs.
spellingShingle Bollobás, B
Riordan, O
Slivken, E
Smith, P
The threshold for jigsaw percolation on random graphs
title The threshold for jigsaw percolation on random graphs
title_full The threshold for jigsaw percolation on random graphs
title_fullStr The threshold for jigsaw percolation on random graphs
title_full_unstemmed The threshold for jigsaw percolation on random graphs
title_short The threshold for jigsaw percolation on random graphs
title_sort threshold for jigsaw percolation on random graphs
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