Tag » facebook

Just over a year ago we launched an experimental Facebook application that allows you to visualize how all your facebook friends are connected called the Social Graph. It offers Facebook users additional insight into their personal social networks, allowing them to identify different social clusters they belong to. You can read about how the Social Graph was developed in this introductory post.

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It can be argued that Facebook is now the de facto online social network with almost 500 million registered users, with only a few countries such as China (QQ), Russia (Vkontakte), Japan (Mixi) and Brazil (Orkut) left where it is not the dominant social force. Facebook has been especially successful in expanding geographically via local language implementations and is now taking this further by also extending users’ social graphs and activities to the wider web through its Open Graph tools (announced at their F8 conference last week).

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January brings with it the usual proliferation of lists predicting technology trends for 2010. I’ll add to the swarm by providing a short list of events which I believe will have a significant impact on the Web As We Know It in the coming year.

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Sample Image

Have you ever come across a website and saw some really interesting aspects of the user interface ? Maybe it was a site design that looks like a flash site but was not? Or maybe you came across a site that had a visually appealing menu.

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Coming from a Flash Developer background I have had no experience with mobile application development. From the time I saw the first phone to run Android, the G1, I have been itching to get into Android development. So when I was recently given the go-ahead to take this journey into the Android world, plus a shiny new Android phone :) , I was both excited and nervous

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We have just posted our experimental Social Graph application on Facebook. It offers Facebook users additional insight into their personal social networks, allowing them to identify different social clusters they belong to. In the work and life balancing game, the person with the biggest number of clusters, and not the person with the biggest number of friends, wins.

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