On Wed, Sep 23, 2009 at 4:16 PM, Katy Borner <k...@indiana.edu> wrote:
> ***** To join INSNA, visit http://www.insna.org *****
> Please see below and enjoy,
> k

> ==================================

> 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 (see 'What's New' below for more).

> 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.

> 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).

> Downloading, Installing and Uninstalling

> Download the NWB Tool, making sure to save the download as a .jar file.

> To install the NWB Tool, simply double click the .jar file, or run the
> command 'java -jar <name of nwb jar file>' on the command line in the folder
> containing the .jar file. This should start the installer, which will guide
> you through the rest of the installation process. Make sure to install NWB
> in an empty directory.

> To uninstall the NWB Tool, run Uninstall NWB from your operating system
> program menu or run uninstaller.jar (in {NWB Installation
> Directory}/Uninstaller).

> 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

> What’s New

> New since NWB 1.0.0 beta-5:

> * Blondel Community Detection and Hierarchical Circular Viz

> The NWB Tool now includes the ability to detect communities in networks at
> both high and low levels of detail. The results of Blondel Community
> Detection can be visualized in the Hierarchical Circular Visualization,
> which displays a network's communities and the connections between them.

> *  Weighted Page Rank and HITS

> The Network Workbench Tool now supports both the Weighted Page Rank and HITS
> algorithms, which are useful for rating the importance of nodes in networks
> based on their connections.

> *  Pathfinder Network Scaling

> Two new and improved Pathfinder Network Scaling algorithms are available in
> Network Workbench 1.0.0: Fast and MST Pathfinder Network Scaling. Both are
> useful for discovering the most important connections in a network, allowing
> the essential underlying structure to be viewed and analyzed more easily.

> *  Discrete Network Dynamics Toolkit performance improvements

> The Discrete Network Dynamics (DND) toolkit is a collection of algorithms
> for working with boolean and other logic networks with discrete states.
> Recent research, especially in the biological sciences, has shown that the
> dynamics of networks based on boolean and other discrete logics can mimic
> the dynamics of many complex processes as well as or better than approaches
> using complicated differential equations and complex timing rules. This
> release includes significant performance improvements to the Discrete
> Network Dynamics toolkit, supporting large networks via on-disk analysis,
> and decreasing overall runtime.

> *  Additional features and fixes

> Network Workbench 1.0.0 also includes many smaller improvements, including
> fixes for scientometrics functionality, better time slicing capabilities,
> improved tool stability, and more!

> New since NWB 0.9.0

> * Improved GUESS Graph Visualization

> Since our last stable release many small improvements have been made to the
> GUESS graph visualization, including more intuitive zooming capabilities and
> easier use of capabilities for resizing and colorizing by node values.

> * Weighted Network Suite

> The Network Workbench Tool now includes 8 new fundamental algorithms for the
> creation and analysis of weighted networks.
> -------------------------

> If you have any difficulties with this release, feel free to contact us at
> nwb-helpdesk@googlegroups.com

> Best Regards,
> Micah Linnemeier
> Network Workbench Team Lead

> --
> Katy Borner
> Victor H. Yngve Professor of Information Science
> Director, CI for Network Science Center, http://cns.slis.indiana.edu
> Curator, Mapping Science exhibit, http://scimaps.org

> School of Library and Information Science, Indiana University
> Wells Library 021, 1320 E. Tenth Street, Bloomington, IN 47405, USA
> Phone: (812) 855-3256  Fax: -6166

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