On generating random network structures: Connected graphs

Alexey S. Rodionov, Hyunseung Choo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

31 Scopus citations

Abstract

In this paper we present the set of base algorithms for generating connected random graphs (RG). RG can be used for testing different algorithms on networks. The fast algorithms with proved properties are presented for random generation of connected graphs, sugraphs (subgraphs on the complete set of nodes) and others in conditions of given restrictions, such as limited node degree, given node degrees, different probabilities of edges existence etc. Special attention is given to generating graphs "similar to real networks." The algorithms are presented in the Pascal-like pseudo code.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsHyun-Kook Kahng, Shigeki Goto
PublisherSpringer Verlag
Pages483-491
Number of pages9
ISBN (Print)3540230343
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3090
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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