Socilab is a free tool that allows users to visualize, analyze, and download data on their LinkedIn network. It works with the LinkedIn API to a) calculate structural hole metrics such as network density, hierarchy and constraint - and displays your percentile compared to other users of the tool, b) display a dynamic/interactive visualization of your ego network with node coloring by industry and an option to enable/disable connections to self using D3.js, and c) produce a CSV adjacency matrix or Pajek edgelist for download and import into your favorite SNA package. Users might find it useful for class tutorials. Former users of the now deprecated LinkedIn inMaps may find this to be a useful alternative.
Ari Sahagún's insight:
Free and open-source LinkedIn network visualizer (since InMaps has been discontinued)
My research is in the field of interaction design / computer graphics / information visualization, with a focus on social-spatial-temporal data visualization and interaction, network dynamics visualization and interaction, and visual storytelling.
Ari Sahagún's insight:
Lots of graphically rich social graphs here, from one of the collaborators on the new network science book (barabasi.com/networksciencebook/)
Recently, we had an Embedly hack week where internally we played with ideas to make something cool. I made a Reddit discussion network visualization, powered by D3 with previews generated by Embedly...
Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years. So what can we expect? Which innovative ideas are already being used? And what are the most creative approaches to present data in ways we've never thought before? Let's take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools.
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