Abstract
AbstractPajek is a program package for analysis and visualization of large networks (networks containing up to one billion of vertices, there is no limit—except the memory size—on the number of lines). It has been available for 20 years. The program, documentation and supporting material can be downloaded and used for free for noncommercial use from its web page:http://mrvar.fdv.uni-lj.si/pajek/
Highlights
Large networks can be found everywhere, e.g., social networks, connections among people; trade among organizations or countries; citation and co-authorship networks; telephone calls; flow charts in computer science; organic molecule in chemistry (e.g., DNA, protein–protein interaction networks, genome research); connections among words in text or dictionaries; transportation networks
History Development of program Pajek began in 1996 when Andrej Mrvar started his work on Ph.D. thesis on analysis and visualization of large networks at Faculty of Computer and Information Science, University Ljubljana
Results obtained by Pajek can be further analysed using R, SPSS, and Excel
Summary
Large networks can be found everywhere, e.g., social networks, connections among people (kinship relations, friendship, Facebook, Twitter, WWW); trade among organizations or countries; citation and co-authorship networks (e.g., obtained from Web of Science); telephone calls; flow charts in computer science; organic molecule in chemistry (e.g., DNA, protein–protein interaction networks, genome research); connections among words in text or dictionaries; transportation networks (airlines, streets,...). History Development of program Pajek began in 1996 when Andrej Mrvar started his work on Ph.D. thesis on analysis and visualization of large networks at Faculty of Computer and Information Science, University Ljubljana Pajek has been developed for 20 years, it is still the only general program available on the market that can handle huge networks (networks having up to a billion of vertices; there is no limit—except the memory size—on the number of lines). Citations can be found in some prominent journals like Nature and Genome Research.
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