Title
The threshold for jigsaw percolation on random graphs
Abstract
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 soon. 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 Erdos-Renyi random graphs.
Year
Venue
Field
2017
ELECTRONIC JOURNAL OF COMBINATORICS
Random regular graph,Discrete mathematics,Block graph,Combinatorics,Indifference graph,Line graph,Vertex (graph theory),Symmetric graph,1-planar graph,Continuum percolation theory,Mathematics
DocType
Volume
Issue
Journal
24
2
ISSN
Citations 
PageRank 
1077-8926
1
0.43
References 
Authors
0
4
Name
Order
Citations
PageRank
Bela Bollobas16612.05
Oliver Riordan228538.31
erik slivken330.83
Paul Smith431.60