Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems

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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems ( online-social-networks-measurement-analysis-and-applications )

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61 obtained group membership information via Flickr’s API.1 Flickr only allows us to query for forward links. Therefore we were unable to crawl the entire large WCC. To estimate the fraction of users who are part of the WCC but missing in our crawl, we performed the following experiment. We used the fact that the vast majority of Flickr user identifiers take the form of [randomly selected 8 digit number]@N00. We generated 100,000 random user identifiers of this form (from a possible pool of 90 million) and found that 6,902 (6.90%) of these were assigned usernames. These 6,902 nodes form a random sample of Flickr users. Among these 6,902 users, 1,859 users (26.9%) had been discovered during our crawl. Focusing on the 5,043 users not previously discovered by our crawl, we con- ducted a BFS starting at each user to determine whether or not they could reach our set of previously crawled users. We found that only 250 (5.0%) of the missed users could reach our crawled set and were definitively in the WCC. While we cannot conclusively say that the remaining 4,793 (95.0%) missed users are not attached to the WCC (there could be some other user who points to them and to the WCC), the fact that 89.7% of these have no forward links suggests that many are not connected at all. Finally, to explore how the remaining missing nodes are connected, we crawled the social network using these missing users as seeds, and compared the results with 1Flickr also allows users to form private groups, which do not appear in the user’s profile list. We were unable to determine any information about the membership of such groups.

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