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The advantage of NodeXL, particularly for graphing Twitter communities, is it has built-in features for grabbing the data for you. Not only that the coding is clever enough to handle the data collection for mere mortals, so when you hit your rate limit NodeXL waits until it should be able to get more data. NodeXL also has "built-in connections for getting networks from Flickr, YouTube, and your local email. Additional importers for Exchange Email, Facebook, and Hyperlink networks are available".

twittpoll.com is the opinion channel of twitter. By following @twittpoll you get the newest polls from twittpoll.com. You can vote on a poll for 24 hours. After that you will receive the overall result within your twitter account.

Kovas Boguta, the head of analytics at Weebly and a guest author on ReadWriteWeb, has created another powerful data visualization, this time of the "the pro-democracy movement in Egypt and across the Middle East." The visualization drew from Twitter use by Egyptians and influential others around the #jan25 uprising. Those writing in Arabic only are represented in red, only in English are in blue and overlap by various shades of purple. Influence, in terms of follows, are represented by lines and those who influence each other are located in proximity.

What makes a tweet go viral online? And what does a viral trend actually look like? Those are a couple of the questions that can be answered by a new Microsoft Research project, called Viral Search. The company's researchers are showing the project this week at an internal gathering this week in Redmond. The program crunches large amounts of data from Twitter (and potentially Facebook and other platforms in the future) to analyze and display patterns of distribution on the social network.

For the past year and two I have noticed a lot of statistical analysis using #rstats /R on unstructured text generated in real time by the social network Twitter. From an analytic point of view , Google Plus is an interesting social network , as it is a social network that is new and arrived after the analytic tools are relatively refined. It is thus an interesting use case for evolution of people behavior measured globally AFTER analytic tools in text mining are evolved and we can thus measure how people behave and that behavior varies as the social network and its user interface evolves.

NodeXL is an open-source template for Excel 2007 and 2010 which provides the utility to create a hierarchical network edge list. With NodeXL, you can create a customizable hierarchical network graph and zoom, scale, or pan it for a more refined look of added data. Networks can also be imported or exported to a variety of file formats. For example, you can create a graph displaying a company's chain of command and structure of subordinate employees. NodeXL provides the convenience of eluding difficult applications, arcane file formats and programming language for creating such graphs. You can even import a list of your Twitter followers or YouTube and Flickr connections, to create graphs representing your social network.

Social Mention is a social media search and analysis platform that aggregates user generated content from across the universe into a single stream of information. It allows you to easily track and measure what people are saying about you, your company, a new product, or any topic across the web's social media landscape in real-time. Social Mention monitors 100+ social media properties directly including: Twitter, Facebook, FriendFeed, YouTube, Digg, Google etc.