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Showing posts with the label visualization

Location and News(papers), also for Intranet?

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The New York Times has an interesting 'experimental projects' group, beta620. ReadWriteWeb recently pointed to an interesting experiment, called Longitude. Wouldn't it be neat if news items could be browsed through by a map? So you can see what news has been published about the city or country you live in or are interested in? Longitude does just this. One thing I was wondering is: Is this concept also interesting for the intranet? Could it be valuable to international companies to link the news items and intranet pages to a location? Clearly there are good cases for the combination of location and intranet . Curious to hear your thoughts about this. Go ahead and play with Longitude. Great stuff for in the weekend if you ask me!

Enterprise Memolane

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Wow, this is very interesting ! Memolane, a timeline for all your social media traces. One of the things that popped up when I saw this was: hey, this is great way to find back old tweets (as Twitter search being so aweful...). And, wouldn't this also be great for a business environment ? It would tell you when you sent emails, checked-in/-out documents, searched for information on the intranet, etc.? What I understand is that Memolane is not moving into this space. Business opportunity!

Are You in the Twitter Parade?

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This is great fun! Go to this webpage , type in your Twitter handle or a keyword and sit back and enjoy.

tafiti

Wow, did you see this ? Go the site and type in a query! This is a site to demo MS's Silverlight technology . This is a interesting application for information management and literature research.

Visual blogging at TED

Hmm, this seems a lot nicer way to blog than I'm doing now and more creative too.

wefeelfine.org -- Addictive Visualization of Collective Sentiment

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The O'Reilly Radar pointed to an interesting new site called wefeelfine . What's it about? "Basically, blog data is collected and searched for variants of the phrases 'I feel...' or 'I am feeling...' One of 5,000 predefined feelings is associated with the post and the other database attributes are loaded. The 'mobs' has options to display 'most common' and 'most salient' characteristics of the data. The animation is done in processing." (...) The interface to this data is a self-organizing particle system, where each particle represents a single feeling posted by a single individual. The particles' properties - color, size, shape, opacity - indicate the nature of the feeling inside, and any particle can be clicked to reveal the full sentence or photograph it contains. The particles careen wildly around the screen until asked to self-organize along any number of axes, expressing various pictures of human emotion. We Feel Fi...