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[...] Facebook just recently announced a new revolutionary system on April 21st.With the so-called revolutionary system they previously announced with the “connect” system, Facebook again began another revolutionary process, with the now so-called “social graphing.”The “connect” system allowed users to log into various websites with one facebook account, reducing the burden of typing in the same user ID and PW a number a times. This already has been an innovative movement. The only defect in web-based social networking was that the networking only worked inside the given website. No matter how many “friends” or “followers” a user had, it was hard to maintain the connection outside that particular website (it is interesting how people put a difference between “facebook friends” and “real life friends”). But with the “connect” system, users can freely surf around the website without any limitations begin given.Now, based on the more “connected” system, Facebook attempts to take a step further. By placing just a simple line of code on any given site, users can freely share any type of media on facebook by “liking” it. For instance, if a user comes across an interesting ad, he or she can simply click “like” and this information will automatically be sent to the Facebook DB, and show up on his or her friends’ homepage. This is quite similar to what Facebook normally had, the “become a fan…” button. Yet, the two main differences from the original system is that, one, it no longer has a limitation of being secluded inside the Facebook website, and, two, Facebook now keeps a track of what type of information the users prefer watching.(photo from: http://www.flickr.com/photos/marc_smith)The system is indeed quite unique and interesting. Facebook attempts to make a web with a perfectly personalized database. Users might have noticed at one point Facebook introduced a new system called “Top News” category in the homepage. It was a way of personalizing users’ home page by only displaying the most popular wall posts by other the users’ friends. Now, instead of personalizing by what others think, Facebook attempts to personalize based on what each individuals think and like. Say, for instance, a certain user logs into CNN website, with his or her facebook account. Now, the user can surf through and see what he or she likes by clicking on the “like” button. Whenever the “like” button is activated, CNN will report the certain article the user liked to the Facebook DB, and keep a record of it. The more the user “likes,” the more there exists data to determine what kind of articles the user likes. Now, when the user logs into another website, say the New York Times, NYT will obtain data from the Facebook DB, and will “personalize” the homepage according to the user. This really will make a revolution in personalizing all the websites depending on who the user is. Indeed, this already covers the only existing defect in web-based socializing systems.In class, I recall discussing how “networks” are created in the very first class of the semester. We talked about how edges can be created, by giving an example of “friends.” Good friends create a positive edge; unfriendly friends create a negative edge. Now, Facebook is creating edges based on the data collected from a number of websites a user visits, and determines which is a strong/weak or positive/negative edge. If a user visits a particular website a number of times, this will create a strong edge. If the user ignores a particular article or link for a number of times, this will create a negative edge. Eventually, the user will end up having a perfectly personalized web.http://bits.blogs.nytimes.com/2010/04/21/facebook-spreads-itself-across-the-web/?scp=5&sq=facebook%20&st=csehttp://www.bloter.net/archives/29843 (korean website)http://www.cnn.com/2010/TECH/04/22/facebook.won.the.web.cashmore/index.htmlhttp://arstechnica.com/web/news/2010/04/facebook-outlines-web-likes-microsoft-docscom-more.ars Posted in Topics: Education These icons link to social bookmarking sites where readers can share and discover new web pages. [...]