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3 public interface provided. Our collected data (which we have made available to the research community in anonymized form) represents the first large-scale data set available to researchers for many of these systems. Our second goal is to apply our understanding of the properties of online social networks to build applications that leverage the information contained in social net- works in innovative ways. In this thesis, we present two applications that address important challenges for information systems. The first challenge we address is the problem of unwanted communication, such as unsolicited marketing, propaganda, or spam. We demonstrate how to leverage the effort required to create and maintain social relationships in a social network to effectively block users from sending such communication without impeding legitimate communication. The second challenge we address is the problem of finding Web pages that are either new, not publicly vis- ible, or of interest to only a small set of users. Due to the rapid growth of the Web, such pages are often not included in traditional Web search engines; we demonstrate how to leverage the shared interest between users in a social network to find such pages. At a high level, this thesis is divided into four distinct parts: (a) discussions of background, related work, and data collection methodology; (b) detailed studies on the structure and growth of online social networks; (c) an examination of the communities in online social networks; and (d) the presentation of two new systems that leverage properties of online social networks. In the next few subsections, wePDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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