Library Research Guide
Network Visualizations are a good choice for data that cannot be easily captured using a tree structure. In addition to simply showing where items connect, users often want to know about shortest or least costly paths connecting two items or transversing the entire network.
Examples of network visualizations include: adjacency list, node-link diagram, hive plot, dependency graph, alluvial diagram, matrix, and subway map
A free, open-source template for Microsoft® Excel® 2007 and 2010 that makes it easy to explore network graphs. With NodeXL, you can enter a network edge list in a worksheet and click a button to see your graph, all in the familiar environment of the Excel window.
Pajek, the Slovene word for Spider, is a program for Windows that allows analysis and visualization of large networks.
Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs.
A large-scale network analysis, modeling and visualization toolkit for Biomedical, Social Science and Physics research. Designs, evaluates, and operates a unique distributed, shared resources environment for large-scale network analysis, modeling, and visualization.
The Science of Science (Sci2) Tool is a modular toolset specifically designed for the study of science. It supports the temporal, geospatial, topical, and network analysis and visualization of scholarly datasets at the individual, local, and global levels.
Primarily intended to be used for analyzing bibliometric networks. The program can be used to create maps of publications, authors, or journals based on a co-citation network, or keywords based on a co-occurrence network.
Formerly known as LexiURL Searcher, Webometric Analyst automatically analyzes the impact of collections of documents or web sites, and creates network diagrams of collections of web sites.
A software package for the analysis of social network data.
An exploratory data analysis and visualization tool for graphs and networks. GUESS is a database driven system that allows nodes and edges to include attributes beyond basic display features including continuous, categorical, and binary attributes.