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August 2015 Jigsaw percolation: What social networks can collaboratively solve a puzzle?
Charles D. Brummitt, Shirshendu Chatterjee, Partha S. Dey, David Sivakoff
Ann. Appl. Probab. 25(4): 2013-2038 (August 2015). DOI: 10.1214/14-AAP1041


We introduce a new kind of percolation on finite graphs called jigsaw percolation. This model attempts to capture networks of people who innovate by merging ideas and who solve problems by piecing together solutions. Each person in a social network has a unique piece of a jigsaw puzzle. Acquainted people with compatible puzzle pieces merge their puzzle pieces. More generally, groups of people with merged puzzle pieces merge if the groups know one another and have a pair of compatible puzzle pieces. The social network solves the puzzle if it eventually merges all the puzzle pieces. For an Erdős–Rényi social network with $n$ vertices and edge probability $p_{n}$, we define the critical value $p_{c}(n)$ for a connected puzzle graph to be the $p_{n}$ for which the chance of solving the puzzle equals $1/2$. We prove that for the $n$-cycle (ring) puzzle, $p_{c}(n)=\Theta(1/\log n)$, and for an arbitrary connected puzzle graph with bounded maximum degree, $p_{c}(n)=O(1/\log n)$ and $\omega(1/n^{b})$ for any $b>0$. Surprisingly, with probability tending to 1 as the network size increases to infinity, social networks with a power-law degree distribution cannot solve any bounded-degree puzzle. This model suggests a mechanism for recent empirical claims that innovation increases with social density, and it might begin to show what social networks stifle creativity and what networks collectively innovate.


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Charles D. Brummitt. Shirshendu Chatterjee. Partha S. Dey. David Sivakoff. "Jigsaw percolation: What social networks can collaboratively solve a puzzle?." Ann. Appl. Probab. 25 (4) 2013 - 2038, August 2015.


Received: 1 September 2012; Revised: 1 May 2014; Published: August 2015
First available in Project Euclid: 21 May 2015

zbMATH: 1322.60210
MathSciNet: MR3349000
Digital Object Identifier: 10.1214/14-AAP1041

Primary: 60K35 , 91D30
Secondary: 05C80

Keywords: percolation , phase transition , random graph , social networks

Rights: Copyright © 2015 Institute of Mathematical Statistics


Vol.25 • No. 4 • August 2015
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