Diameter: Difference between revisions

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== Parameters ==  
== Parameters ==  


V: number of vertices
$V$: number of vertices


E: number of edges
$E$: number of edges


== Table of Algorithms ==  
== Table of Algorithms ==  

Latest revision as of 07:53, 10 April 2023

Description

Given a graph $G = (V, E)$, determine the diameter $d$ of the graph, i.e. the maximum eccentricity over all of the vertices of the graph

Related Problems

Generalizations: Eccentricity

Subproblem: Approximate Diameter, Decremental Diameter

Related: Median, Radius, Diameter 2 vs 3, Diameter 3 vs 7, Decremental Diameter, 1-sensitive (4/3)-approximate decremental diameter, 1-sensitive decremental diameter, constant sensitivity (4/3)-approximate incremental diameter, 1-sensitive (4/3)-approximate decremental eccentricity

Parameters

$V$: number of vertices

$E$: number of edges

Table of Algorithms

Currently no algorithms in our database for the given problem.

Reductions TO Problem

Problem Implication Year Citation Reduction
Reach Centrality if: to-time: $\tilde{O}(T(n,m))$ for $n$-node $m$-edge directed (resp. undirected) graph
then: from-time: $\tilde{O}(T(n,m))$ for $n$-node $m$-edge directed (resp. undirected) graph
2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Lemma 3.1 link
Positive Betweenness Centrality if: to-time: $\tilde{O}(T(n,m))$ for $n$-node $m$-edge directed (resp. undirected) graph
then: from-time: $\tilde{O}(T(n,m))$ for $n$-node $m$-edge directed (resp. undirected) graph
2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Lemma 4.1 link
Approximate Betweenness Centrality 2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Theorem 4.2 link

Reductions FROM Problem

Problem Implication Year Citation Reduction
Reach Centrality 2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, link
Reach Centrality if: to-time: $\tilde{O}(T(n,m,M))$ for $n$-node $m$-edge directed graph with integer weights in $(-M,M)$
then: from-time: $\tilde{O}(T(n,m,M))$ for $n$-node $m$-edge directed graph with integer weights in $(-M,M)$
2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Lemma 3.2 link
Positive Betweenness Centrality if: to-time: $\tilde{O}(T(n,m,M))$ for $n$-node $m$-edge directed (resp. undirected) graph with integer weights in $(-M,M)$
then: from-time: $\tilde{O}(T(n,m,M))$ for $n$-node $m$-edge directed (resp. undirected) graph with integer weights in $(-M,M)$
2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Lemma 4.2 link
Approximate Betweenness Centrality 2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Theorem 4.2 link
Betweenness Centrality (BC) if: to-time: Truly subcubic
then: from-time: Truly subcubic Monte-Carlo PTAS
2015 https://epubs-siam-org.ezproxy.canberra.edu.au/doi/10.1137/1.9781611973730.112, Lemma 4.10 link