Fwd: [SOCNET] Network Workbench Tool 1.0.0 release
Bernie Hogan
If you're interested in a tool that facilitates GUESS, try out the
Network Workbench. In it you'll notice that GUESS has an additional
panel to the interpreter called Graph Modifier. This was developed by
myself and Jeffrey Wong a couple years ago. I sent it to the Network
Workbench people, and I was pleasantly surprised to see it integrated.
(I would also lobby to have this integrated into the main GUESS
package if people are interested). One of its nice features is the
ability to show history - this is sort of a code crutch, since it
simply executes the code in the code history as it works.
But some of the options appear and disappear at the bottom, so I
recommend undocking it before you use it. To undock you right click on
the name.
The network workbench announcement is appended below
Take care,
BERNiE
Bernie Hogan
Research Fellow, Oxford Internet Institute
University of Oxford
On Wed, Sep 23, 2009 at 4:16 PM, Katy Borner <ka...@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-he...@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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