This post is part of our ReadWriteCloud channel, which is dedicated to covering virtualization and cloud computing. The channel is sponsored by Intel and VMware. Read their latest case study: A Canadian Printer Leaves its Servers in Illinois. Thumbnail image for Cirrus_clouds2.jpgIn our last post on data journalism, we ran across a number of tools that would be helpful for anyone who is interested in how to make sense of data. The tools represent a renaissance in how we make sense of our information culture. They provide context and meaning to the often baffling world of big data. This is a snapshot of what is available. We are relying on the work done by Paul Bradshaw, whose blog is an excellent source about the new world of data journalism.
Using RhNav - Rhizome Navigation I wrote a data aggregator for Technorati's API. The first result is a video which visualizes blog domains by analysing Technorati's Cosmos (the blogs which link to a particular URL). The video is a screencast of RhNav fetc
Protocol Buffers allow you to define simple data structures in a special definition language, then compile them to produce classes to represent those structures in the language of your choice. These classes come complete with heavily-optimized code to par
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K. Joseph, P. Landwehr, and K. Carley. Social Computing, Behavioral-Cultural Modeling and Prediction, page 75--83. Cham, Springer International Publishing, (2014)