Network Workbench (NWB) Tool 1.0.0 Official Release
The Network Workbench Team
The Network Workbench team is pleased to announce the release of Network Workbench Tool 1.0.0! This release includes many new features from our previous 1.0.0 beta releases, as well as new features and improvements unavailable in any other version. New features include support for network community detection, two fast new implementations of Pathfinder Network Scaling, Weighted Page Rank, HITS, and a suite of algorithms for analyzing weighted networks.
The NWB tool 1.0.0 release also includes an updated and expanded 77-page tutorial, and a full walkthrough describing how Network Workbench community members can develop their own NWB/CIShell algorithms.
2. General Description
The Network Workbench Tool is a network analysis, modeling, and visualization toolkit for biomedical, social science, and physics research. It is a standalone desktop application requiring Java 1.4+ JRE. The tool installs and runs on Windows, Mac, and Linux platforms.
Network Workbench uses the Cyberinfrastructure Shell (CIShell) to bring together various algorithms used in the Network Science community. CIShell enables data and algorithms from disparate sources to work together, integrating with Java-based algorithms as well as algorithms developed in other programming languages such as FORTRAN, C, and C++.
CIShell, and by extension Network Workbench, is based on OSGi, a Java framework for plugin-based service-oriented architectures.
A listing of many of the algorithms available in Network Workbench can be found on the NWB Community Wiki.
If you would like to learn more about the Network Workbench project and the tool in general, please visit our main website http://nwb.slis.indiana.edu.
3. Downloading and Installing
Download the NWB tool at http://nwb.slis.indiana.edu/download.html. Once the file has completed downloading, unzip the .zip file and the NWB tool will be installed on your system.
In order to utilize NWB's plotting functionality, Mac and Linux users should install Gnuplot.
Note that certain versions of Mac OS X are not able to run some visualization algorithms in the NWB tool. The built-in GUESS visualization tool should be sufficient for most needs.
If you use the Network Workbench Tool or information at nwb.slis.indiana.edu for any publication, please cite as follows:
NWB Team. (2006). Network Workbench Tool. Indiana University, Northeastern University, and University of Michigan, http://nwb.slis.indiana.edu
4. What’s New
4.1 New since NWB 1.0.0 beta-5
4.2 New since NWB 0.9.0