Large networks, having thousands of vertices and lines, can be found in many different areas, e. g: genealogies, flow graphs of programs, molecule, computer networks, transportation networks, social networks, intra/inter organisational networks... Many standard network algorithms are very time and space consuming and therefore unsuitable for analysis of such networks. In the article we present some approaches to analysis and visualisation of large networks implemented in programPajek. Some typical examples are also given. 1
%0 Journal Article
%1 Batagelj1998Pajek
%A Batagelj, Vladimir
%A Mrvar, Andrej
%D 1998
%J Connections
%K networks software visualisation
%P 47--57
%T Pajek - Program for Large Network Analysis
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.9156
%V 21
%X Large networks, having thousands of vertices and lines, can be found in many different areas, e. g: genealogies, flow graphs of programs, molecule, computer networks, transportation networks, social networks, intra/inter organisational networks... Many standard network algorithms are very time and space consuming and therefore unsuitable for analysis of such networks. In the article we present some approaches to analysis and visualisation of large networks implemented in programPajek. Some typical examples are also given. 1
@article{Batagelj1998Pajek,
abstract = {Large networks, having thousands of vertices and lines, can be found in many different areas, e. g: genealogies, flow graphs of programs, molecule, computer networks, transportation networks, social networks, intra/inter organisational networks... Many standard network algorithms are very time and space consuming and therefore unsuitable for analysis of such networks. In the article we present some approaches to analysis and visualisation of large networks implemented in {programPajek}. Some typical examples are also given. 1},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Batagelj, Vladimir and Mrvar, Andrej},
biburl = {https://www.bibsonomy.org/bibtex/21bb2aa9d64b657a5b7dd87f365851235/karthikraman},
citeulike-article-id = {3177215},
citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.9156},
interhash = {83a206343bc26729c267670795981077},
intrahash = {1bb2aa9d64b657a5b7dd87f365851235},
journal = {Connections},
keywords = {networks software visualisation},
pages = {47--57},
posted-at = {2009-11-16 09:23:30},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Pajek - Program for Large Network Analysis},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.9156},
volume = 21,
year = 1998
}