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20082026
most citedApproximating Fixation Probabilities in the Generalized Moran Process

36 citations · 170 across the 60 of their papers we have counts for

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cs.DM2022★ 1 cited

A spectral algorithm for finding maximum cliques in dense random intersection graphs

Filippos Christodoulou, Sotiris Nikoletseas, Christoforos Raptopoulos +1

In a random intersection graph , each of vertices selects a random subset of a set of labels by including each label independently with probability and edges…

cs.DM2020

MAX CUT in Weighted Random Intersection Graphs and Discrepancy of Sparse Random Set Systems

Sotiris Nikoletseas, Christoforos Raptopoulos, Paul Spirakis

Let be a set of vertices, a set of labels, and let be an matrix of independent Bernoulli random variables with success probability…

cs.DM2016

On the Complexity of Weighted Greedy Matchings

Argyrios Deligkas, George B. Mertzios, Paul G. Spirakis

Motivated by the fact that in several cases a matching in a graph is stable if and only if it is produced by a greedy algorithm, we study the problem of computing a maximum weight…

cs.DM2015

The complexity of optimal design of temporally connected graphs

Eleni C. Akrida, Leszek Gasieniec, George B. Mertzios +1

We study the design of small cost temporally connected graphs, under various constraints. We mainly consider undirected graphs of vertices, where each edge has an associated se…

cs.DM2015★ 2 cited

Temporal Network Optimization Subject to Connectivity Constraints

George B. Mertzios, Othon Michail, Paul G. Spirakis

In this work we consider \emph{temporal networks}, i.e. networks defined by a \emph{labeling} assigning to each edge of an \emph{underlying graph} a set of \emph{discrete}…

cs.DM2012★ 3 cited

Maximum Cliques in Graphs with Small Intersection Number and Random Intersection Graphs

S. Nikoletseas, C. Raptopoulos, P. G. Spirakis

In this paper, we relate the problem of finding a maximum clique to the intersection number of the input graph (i.e. the minimum number of cliques needed to edge cover the graph).…