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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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Chapter 4 Measurement Methodology We now describe the data used in this thesis, and the methodology used to collect it. We were not able to obtain data directly from the respective site operators, as most sites are hesitant to provide even anonymized data. Instead, we chose to crawl the user graphs by accessing the public web interface provided by the sites. This methodology gives us access to large data sets from multiple sites. We discuss the data collected for each of the three measurement studies sepa- rately. First, we detail general challenges faced when crawling large social networks. Second, we describe the data collected for our analysis of the structure of online social networks, which includes data from multiple online social networks and the Web. We then describe the data collected to study how online social networks grow, and finally, we detail the data collected to study community structures. 4.1 Challenges in crawling large graphs Crawling large, complex graphs presents unique challenges. In this section, we dis- cussing the details of how we crawled each network after we describe our general ap- proach. Most real-world graphs have been shown to have a dominant large connected component [23], which we call the large WCC. Therefore, we focus our methodology 57

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