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Gephi:Wiki. Siena Homepage. Software for social network analysis. Gephi, an open source graph visualization and manipulation software. Statnet. Networks / Pajek. SocioWorks.com | social network analysis software. OrgScope Layers map complex organization networks. The hierarchy of positions is the “ground truth” terrain of the organization, zoom-able “down” to the unit person scale. Every position’s “altitude” in the organization is given by its level, indicated by a color scheme or a level number, which gives the jobs in the organization their “elevation.”

OrgScope produces an organizational relief map of an inherently 3-D structure With the organization’s single terrain map of positions, an unlimited number of layers can be added of nodes, links, and features that add “color” and detail to already existing nodes and links Layers offer a simple approach to mapping networks and adding layers of complexity We have often used the example of Google Earth to explain the idea of first mapping the organizational terrain (via the HR-LDAP hierarchy data), then overlaying additional detail as layers of information that could be switched on and off. UCINET Software. Customer Support For customer support (e.g., ordering info, billing etc) contact roberta@analytictech.com.

For tech support join the users group or contact support@analytictech.com. We prefer you try the users group first since the answer to your question may benefit others. In addition, you should check out the support page, which includes useful things like tutorial exercises. Fixes, improvements, upgrades UCINET is constantly being upgraded to fix problems, provide new capabilities, or generally make things better. Download and/or Purchase The program can be downloaded and used for free for 90 days. Requirements and Specifications Windows operating system Vista or later.

S Routines for Social Network Analysis in the R Environment. Most of which involve social network analysis, though a wee bit 'o other stuff is available as well.... Introduction and Caveats This page serves, as one might expect, to allow other researchers to access some of the data analysis tools I've developed in the S language. The implementation of S used here is that of the R Statistical Computing Environment , rather than the common alternative of S-PLUS ; the intrepid could doubtless port these routines from one flavor of the language to the other, however.

Caveats: This software is provided on an unsupported, as-is basis, under the terms of the GNU Public License . It is not guaranteed to be bug-free, let alone efficient; use it at your own risk. While the author is always happy to hear about bugs (and is sometimes happy to hear about suggestions and/or demands), he makes no promises whatsoever about making changes to the software, now or in the future.

Amen. Getting and Using R The Statnet Project.