PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Pajek - Analysis and Visualization of Large Networks.
Vladimir Batagelj and Andrej Mrvar
In: Catalog Ars Electronica 2004(2004).

Abstract

Pajek is a program for analysis and visualization of large networks. It is based on six data types (network, partition, vector, cluster, permutation and hierarchy) interconnected with a large set of procedures. To provide efficient tools for decomposition of large networks several new subquadratic algorithms were developed and implemented. Pajek also contains a collection of network visualization methods and supports different picture export formats. Typical applications include analysis and visualization of molecular graphs, genealogies, collaboration networks, citation networks, internet networks, diffusion networks, etc.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:697
Deposited By:Boris Horvat
Deposited On:30 December 2004