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4.5 Capturing communities In this section, we describe the data set we collected for close analysis of community information, and we discuss its limitations. 4.5.1 Measurement methodology Our data set was collected by crawling part of the Facebook [49] social network through the site’s public web interface. We crawled the part of the Facebook social network that consists of Rice University students and alumni. We started by logging into the Facebook user account of one of the authors, who is a student at Rice University. We then conducted a breadth-first-search (BFS) of all reachable users in the Rice network, in the same manner as in previous work [105]. By default, Facebook allows all users whose email addresses have the same domain (rice.edu in this case) to view each others’ friends, and we were thus able to crawl a large portion of the Rice Facebook network. The data collected for this thesis is from a crawl conducted over 9 hours on May 17th, 2008. In total, we discovered 6,156 users in our crawl, who are connected together with 377,350 links. This represents a network with an average user degree of 61.29. 73PDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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