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63 used a feature of LiveJournal3 that returns random users. We selected a list of 5,000 random LiveJournal users and then checked how many of these random users our crawl had already covered. We found that we had already crawled 4,773 (95.4%) of these users, showing that our LiveJournal crawl covers the vast majority of the LiveJournal population. Finally, we started another crawl from the previously unknown 227 users to determine how many additional users could be discovered. This technique found only 73 additional users. These results suggest that our LiveJournal crawl covers almost the entire LiveJournal user population, and that the users not included in our crawl are part of small, isolated clusters. Using the entire WCC from LiveJournal, we calculated the fraction of the WCC that is not reachable by using only forward links (as we did for the Flickr and YouTube crawls). We found that of the 5,284,457 nodes in the discovered WCC, only 404,134 (7.64%) would have been missed had we followed only forward links. Finally, we examined the 404,134 users who would have been missed to see how well these users were connected. We found that 201,694 (49.9%) of these users had a single forward link, 86,561 (21.1%) had two or three links, and 78,463 (19.4%) of the users had four or more forward links. Since, as we will show later, Flickr and YouTube share many characteristics with LiveJournal, this result suggests that the users that are missing in our Flickr and YouTube crawls tend to be small in number and have relatively small outdegree. 3http://www.livejournal.com/random.bmlPDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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