scholarly journals Edge percolation on a random regular graph of low degree

2008 ◽  
Vol 36 (4) ◽  
pp. 1359-1389 ◽  
Author(s):  
Boris Pittel
2000 ◽  
Vol 9 (3) ◽  
pp. 241-263 ◽  
Author(s):  
ALAN M. FRIEZE ◽  
LEI ZHAO

Given a graph G = (V, E) and a set of κ pairs of vertices in V, we are interested in finding, for each pair (ai, bi), a path connecting ai to bi such that the set of κ paths so found is edge-disjoint. (For arbitrary graphs the problem is [Nscr ][Pscr ]-complete, although it is in [Pscr ] if κ is fixed.)We present a polynomial time randomized algorithm for finding edge-disjoint paths in the random regular graph Gn,r, for sufficiently large r. (The graph is chosen first, then an adversary chooses the pairs of end-points.) We show that almost every Gn,r is such that all sets of κ = Ω(n/log n) pairs of vertices can be joined. This is within a constant factor of the optimum.


2008 ◽  
Vol 29 (5) ◽  
pp. 1139-1150 ◽  
Author(s):  
Catherine Greenhill ◽  
Fred B. Holt ◽  
Nicholas Wormald

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.


2008 ◽  
Vol 21 (4) ◽  
pp. 645-650
Author(s):  
Lan XIAO ◽  
Guiying YAN ◽  
Yuwen WU ◽  
Wei REN

2008 ◽  
Vol 17 (2) ◽  
pp. 259-264 ◽  
Author(s):  
SVANTE JANSON ◽  
ANDREW THOMASON

We consider the number of vertices that must be removed from a graphGin order that the remaining subgraph have no component with more thankvertices. Our principal observation is that, ifGis a sparse random graph or a random regular graph onnvertices withn→ ∞, then the number in question is essentially the same for all values ofkthat satisfy bothk→ ∞ andk=o(n).


2018 ◽  
Vol 98 (13) ◽  
Author(s):  
Soumya Bera ◽  
Giuseppe De Tomasi ◽  
Ivan M. Khaymovich ◽  
Antonello Scardicchio

2006 ◽  
Vol 30 (1-2) ◽  
pp. 257-286 ◽  
Author(s):  
József Balogh ◽  
Boris G. Pittel

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