In graph theory the diameter is an important topological metric for understanding size and density of a graph. Unfortunately, the graph diameter is computationally di cult to measure for even moderately-sized graphs, insomuch that approximation algorithms are commonly used instead of exact measurements. In this paper, we present a new algorithm to measure the exact diameter of unweighted graphs using vertex programming, which is easily distributed. We also show the practical performance of the algorithm in comparison to other, widely available algorithms and implementations, as well as the unreliability in accuracy of some pseudo-diameter estimators
A well-known problem for which it is difficult to improve the textbook algorithm is computing the gr...
Computing the diameter of a graph, i.e. the largest distance, is a fundamental problem that is centr...
The 2012 Architecture of Computing Systems (ARCS), Munchen, Germany, 28 February - 2 March 2012A fun...
The variety of applications requiring graph analysis is growing rapidly. Diameter is one of the most...
In this paper we propose a new algorithm for computing the diameter of directed unweighted graphs. E...
The diameter of an unweighted graph is the maximum pairwise distance among its connected vertices. I...
The diameter of a graph is among its most basic parameters. Since a few years, it moreover became a ...
International audienceThe diameter of a graph is among its most basic parameters. Since a few years ...
The diameter of a graph is the longest shortest path between two nodes. This paper presents an impr...
AbstractDetermining the diameter of a graph is a fundamental graph operation, yet no efficient (i.e....
This paper is devoted to the fast and exact diameter computation in graphs with n vertices and m edg...
We show that the eccentricity of every vertex in an undirected graph on n vertices can be computed i...
We present an algorithm for approximating the diameter of massive weighted undirected graphs on dist...
Presented as part of the Workshop on Algorithms and Randomness on May 16, 2018 at 10:15 a.m. in the ...
We present a space and time efficient practical parallel algorithm for approximating the diameter of...
A well-known problem for which it is difficult to improve the textbook algorithm is computing the gr...
Computing the diameter of a graph, i.e. the largest distance, is a fundamental problem that is centr...
The 2012 Architecture of Computing Systems (ARCS), Munchen, Germany, 28 February - 2 March 2012A fun...
The variety of applications requiring graph analysis is growing rapidly. Diameter is one of the most...
In this paper we propose a new algorithm for computing the diameter of directed unweighted graphs. E...
The diameter of an unweighted graph is the maximum pairwise distance among its connected vertices. I...
The diameter of a graph is among its most basic parameters. Since a few years, it moreover became a ...
International audienceThe diameter of a graph is among its most basic parameters. Since a few years ...
The diameter of a graph is the longest shortest path between two nodes. This paper presents an impr...
AbstractDetermining the diameter of a graph is a fundamental graph operation, yet no efficient (i.e....
This paper is devoted to the fast and exact diameter computation in graphs with n vertices and m edg...
We show that the eccentricity of every vertex in an undirected graph on n vertices can be computed i...
We present an algorithm for approximating the diameter of massive weighted undirected graphs on dist...
Presented as part of the Workshop on Algorithms and Randomness on May 16, 2018 at 10:15 a.m. in the ...
We present a space and time efficient practical parallel algorithm for approximating the diameter of...
A well-known problem for which it is difficult to improve the textbook algorithm is computing the gr...
Computing the diameter of a graph, i.e. the largest distance, is a fundamental problem that is centr...
The 2012 Architecture of Computing Systems (ARCS), Munchen, Germany, 28 February - 2 March 2012A fun...