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2 endorsed by “friends”. The extreme popularity and rapid growth of these online social networks repre- sents a unique opportunity to study, understand, and leverage their properties. Not only can an in-depth understanding of online social network structure and growth aid in designing and evaluating current systems, it can lead to better designs of future online social network based systems and to a deeper understanding of the impact of online social networks on the Internet. Online social networks also offer many useful properties that can be leveraged to enhance information systems, such as enhance- ments to controlling information propagation, new directions for information search and retrieval, and new ways of reasoning about trust. Thus, the goals of this thesis are two-fold, aiming to both understand the prop- erties of online social networks and leverage those properties in information systems. We describe each of these in more detail below. Our first goal is to understand the structure of online social networks, focusing on the social network graph that connects users. To this end, we conduct the first large- scale measurement study of online social networks, capturing information about users in multiple networks at scale. By examining more than one network, we can determine which structural features are unique to one network, and which are common across all networks. While the operators themselves obviously have complete data about their social networks, this data is not generally available to researchers due to competitive and privacy concerns. Thus, we chose to collect the data ourselves by querying thePDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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