Uncover Low Degree Vertices and Minimise the Mess: Independent Sets in Random Regular Graphs

Author(s):  
William Duckworth ◽  
Michele Zito
2018 ◽  
Vol 341 (3) ◽  
pp. 793-800 ◽  
Author(s):  
Jonathan Cutler ◽  
A.J. Radcliffe

2003 ◽  
Vol 78 ◽  
pp. 223-235 ◽  
Author(s):  
W. Duckworth ◽  
M. Zito

2014 ◽  
Vol 332 ◽  
pp. 40-44 ◽  
Author(s):  
Liying Kang ◽  
Dingguo Wang ◽  
Erfang Shan

Games ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 12
Author(s):  
Hendrik Richter

We study the emergence of cooperation in structured populations with any arrangement of cooperators and defectors on the evolutionary graph. In a computational approach using structure coefficients defined for configurations describing such arrangements of any number of mutants, we provide results for weak selection to favor cooperation over defection on any regular graph with N ≤ 14 vertices. Furthermore, the properties of graphs that particularly promote cooperation are analyzed. It is shown that the number of graph cycles of a certain length is a good predictor for the values of the structure coefficient, and thus a tendency to favor cooperation. Another property of particularly cooperation-promoting regular graphs with a low degree is that they are structured to have blocks with clusters of mutants that are connected by cut vertices and/or hinge vertices.


2009 ◽  
Vol 116 (7) ◽  
pp. 1219-1227 ◽  
Author(s):  
Teena Carroll ◽  
David Galvin ◽  
Prasad Tetali

2009 ◽  
Vol 309 (23-24) ◽  
pp. 6635-6640 ◽  
Author(s):  
David Galvin

2006 ◽  
Vol 27 (7) ◽  
pp. 1206-1210 ◽  
Author(s):  
Alexander A. Sapozhenko

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 270
Author(s):  
Igal Sason

This paper studies the problem of upper bounding the number of independent sets in a graph, expressed in terms of its degree distribution. For bipartite regular graphs, Kahn (2001) established a tight upper bound using an information-theoretic approach, and he also conjectured an upper bound for general graphs. His conjectured bound was recently proved by Sah et al. (2019), using different techniques not involving information theory. The main contribution of this work is the extension of Kahn’s information-theoretic proof technique to handle irregular bipartite graphs. In particular, when the bipartite graph is regular on one side, but may be irregular on the other, the extended entropy-based proof technique yields the same bound as was conjectured by Kahn (2001) and proved by Sah et al. (2019).


2009 ◽  
Vol 410 (50) ◽  
pp. 5236-5243 ◽  
Author(s):  
William Duckworth ◽  
Michele Zito

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