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69 Descriptions of the methodology for collecting data on these are also included below. Using automated scripts on a cluster of 58 machines, we crawled the social network graphs of Flickr and YouTube once per day. We chose these sites because they represent different types of online social networking sites and because it is possible to crawl the entire network once per day. On each day, we revisited every user we had previously discovered, in additional to all nodes that were reachable from the seed node, and recorded any newly created or removed links and nodes. Since the sites do not provide the time of creation for any node or link, our growth data for the social networks has a granularity of one day for the links we observed being created. As a result, we cannot determine the exact time of link creation, or the order in which links were created within a single day. Moreover, new nodes cannot be observed until they become connected to one of the nodes we have already crawled. Additionally, in the rest of the thesis, we only examine links that we observed being created. In other words, we may discover a new node that has a few established links, but we do not examine these previously established links in our growth analysis, as we did not observe them being created. 4.4.1 Flickr We crawled the Flickr network daily between November 2nd, 2006 and December 3rd, 2006, and again daily between February 3rd, 2007 and May 18th, 2007, representing a total of 104 days of growth. During that period of daily growth observations, wePDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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