New research are looking at, how news and informations spread in web's global attention mechanism. Read the article with comments ny tech meetup on ing.dk Read the full article in pdf media landscape is in flux, and no one knows how it all will work. The Internet has become the new global attention organism that pumps news and informations out in all corners of the globe. It estimated that the number of blogs is shown several hundred million, ny tech meetup and with it new social web (Facebook, Twitter etc.), where one pushes informations further ny tech meetup in its circle of friends, is computer scientists held up with to count. But how moves news themselves at this enormous network? Which roads and detours takes a news from Langtbortistan, how quickly frameworks the us, if it hits us, and when disappears the again? With the new tool Spinn3r has computer scientists gotten opportunity to examine these questions, and according Jure Leskovec from Cornell University in New York, it turns that blogs and news media forms the heart in the information the organism. And the interchangeability of the blogs and news media resembles to confusion a heartbeat. Lipstick på en prickle Spinn3r is a web crawler that indexes websites, RSS feeds, news pages and blogs, and sells all data on to researchers, as so can build mashups and home-knitted software to analyze them. The International Conference on weblogs and social media, ICWSM-09, in California in last week could, for example. count least ten articles, that uses Spinn3r to find new and unknown patterns in flow of information. Leskovec and colleagues have built MemeTracker that takes some of the's hottest 'memes' and follows them over time and place. A meme is according ny tech meetup their definition one expressed tanks and which are customize self-sustaining as idea, to it can occur in different variations and mutate over time, without that the original essence disappears. An example: Da Barack Obama during the election campaign said "Du kan the put lipstick på en prickle, men det's the still a pig", was spread the formulation like wildfire in different designs and interpretations. But if one reduces appy to memet 'lipstick på en prickle', this will meme be traceable more or less complete ny tech meetup through all news pages and blogs, and one will could get a good picture of, how the news flow works. Leskovec and colleagues analyzed 90 million news media and blogs in the last three months of the U.S. election 2008 for the 1,000 of the kind of memes. Result can be seen on a interactive chart on memetracker.org. News media is generally 150 minutes faster than blogs to report on an event. There are, however consistent 'fastrunners' among independent media and the bloggers as eg. hotair.com and digg.com, as discover stories before they be taken over by the major media. Cardiac the Battle If one examines the dynamics between news and blogs, one finds further interesting phenomena. Nyhed The amount increase slowly and drops quickly in news media, whereas it is inversely in blogs where there typically is a long tail of discussions and more thorough analyzes of a given meme after that it has been up for the media. Plotter ny tech meetup one the proportion ny tech meetup of quotes in blogs in relation to the total number ny tech meetup quotes on the net as a function of the time, arises there a characteristic pattern, as looks like a humanly heartbeat. ny tech meetup Here one can see that it first are bloggers ny tech meetup who wear the quote forward a bit approximately three hours before maximum, after which the news agencies quickly takes over. After this intensifies the bloggers again the discussions and digests them slowly. The oscillation between news media and blogs show, moreover, that the takeover stabilizes after 6 - 9 hours, and that the final share of citations actually is greater among blogs than among the news pages. On basis of the observed patterns could be Leskovec scoring a simple mathematical model, there would be in capable of simulating the the observed behavior. The option shown found to be sufficiently with two simple assumptions: 1) The media after wonder if each other. 2) Jo newer the better. By not using direct quotations but memes as 'genetic entity' in the analysis could such a model without problems reproduce they factual data.
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