Release › Social Media Research Foundation

Expand and Collapse Groups of Vertices with NodeXL v.132

Clusters are now groups in NodeXL. Recently, the NodeXL team has been focused on a set of new features related to grouping sets of vertices together. In the previous version we released a feature that allowed all sorts of groupings to be recorded in the worksheet. What’s new is that the three clustering algorithms we [...]

Automatic for the people (who use the latest NodeXL!). Release v.1.0.1.128

The NodeXL team has just released a new version (v.1.0.1.128) that contains a new “Automation” feature that allows users to define a collection of operations to perform on their network graphs and invoke the complete set in a single button click AND reuse that configuration on other workbook graphs. In fact, the feature will apply [...]

SNAP new network metrics into NodeXL – performance, speed, and scale updates and additions in NodeXL v.122

+ The Stanford Network Analysis Platform (SNAP) (http://snap.stanford.edu) is a high performance library for calculating network metrics of potentially very large graphs. Working with SNAP author and Stanford Computer Science Professor Jure Leskovec, the NodeXL team is releasing a new update with expanded support for network metrics. With SNAP integrated into NodeXL we have [...]

Node and Venn: NodeXL can create Venn Diagrams!

NodeXL updated starting with version 1.05 with features that make it fairly easy to create basic "Venn Diagrams". A Venn diagram is a familiar way to illustrate the overlap (or lack thereof) of two or more "sets" of things. There…

Twitter & flickr networks in NodeXL – Version 95: Lots of new features! Improved Performance!

Version 95 of NodeXL is hot off the compiler and we are pleased to announce several major features that create a social media network analysis dashboard. From the NodeXL interface it is now possible to import networks from twitter, flickr, email, and a range of social network file formats. Coming soon: support for more spigots – the connectors that pull data from leading social media sources.

What social media data most interest you? We are considering integration with web and wiki crawlers, and support for YouTube, delicious, and enterprise data sources like Active Directory (LDAP), SharePoint, and Exchange.

This release also improves support for images, particularly those pulled from URLS, like twitter or facebook profile photos!

Here, for example, is a map of the connections among twitter accounts that tweeted the “WIN09” tag that was used in the recent Social Networks Summit at NYU (http://winworkshop.net/) The map illustrates the way the summit brought together previously separate clusters of people from the various disciplines that have been attracted to the study of networks in general and social networks in particular. Size of the image equals the number of tweets that person created.

A refined version adds Edge Labels and color to highlight the different tie types in the graph: “follows” relationships and “replies to” and “mentions” and now scaled by “Followers”.

In both views, the high betweenness role of one twitter account is clear.

Release details below the fold….