New SocialGadgets From Microsoft FUSE Labs

Microsoft’s FUSE Labs was started by Ray Ozzie and is run by Lili Cheng. FUSE stands for Future Social Experiences. The group focuses on real-time and media rich experiences and is located in Redmond, WA, Cambridge, MA, and Cambridge, UK.Their earlier projects include Spindex, Kodu, Project Emporia, Docs, Bing Twitter, Bing Twitter maps.

FUSE Labs works in partnership with product and research teams to ideate, develop, and deliver new social, real-time, and media-rich experiences for home and work.

FUSE Labs experiences give users new ways to create, connect and collaborate with the people, information and ideas that matter to them. Earlier we saw Microsoft Research’s new concept — LightSpace. Now they have introduced new project called Social Gadgets. Below you can see the detailed explanation of SocialGadgets from Microsoft FUSE Labs

Visual exploration of Twitter topics

Some say a picture is worth a thousand words. And when analyzing the massive amounts of data generated by Twitter, this adage could not be more appropriate. FUSE Labs’ SocialGadgets are a set of embeddable widgets that visualize Twitter real-time data. Each gadget focuses on a given keyword and displays its volume of usage over time. Mentioned entities such as people, locations, companies and noun phrases are identified and visually represented. The gadgets are interactive, letting users explore the relationships between topics publically shared on Twitter. By focusing on patterns and trends, the gadgets can extrapolate what people find important, and provide a succinct yet effective way to look at events as they are unfolding.

Twitter, ‘the pulse of the world,’ is an incredibly rich data source used by millions across the globe. People post their thoughts, ideas and whereabouts via text-based status updates. Visually displaying trending topics can help readers better understand content and its context. By using any one of the four SocialGadgets, data flowing through the Twitter fire hose is indexed and semantically analyzed in real-time. Within minutes, major entities are identified and their relationships are displayed. The gadgets are easily configured, allowing users to choose a keyword and a template type, then copy and paste an embed code to be displayed on a website of their choice.