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Poking facebook: characterization of osn applications
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Identifying user behavior in online social networks
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Involuntary Information Leakage in Social Network Services
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Camera brand congruence in the Flickr social graph
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A Dynamic Model for On-Line Social Networks
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Wireless applications for hospital epidemiology
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Online social networks in economics
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Detecting spammers and content promoters in online video social networks
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Musically Meaningful or Just Noise? An Analysis of On-line Artist Networks
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Beyond friendship graphs: a study of user interactions in Flickr
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On the evolution of user interaction in Facebook
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Hot today, gone tomorrow: on the migration of MySpace users
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Generating useful network-based features for analyzing social networks
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A history sensitive cascade model in diffusion networks
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Characterizing user behavior in online social networks
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Mining communities in networks: a solution for consistency and its evaluation
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Evolution of an online social aggregation network: an empirical study
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Scalable proximity estimation and link prediction in online social networks
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Self-organizing peer-to-peer networks for collaborative document tracking
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I seek you: searching and matching individuals in social networks
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StarClique: guaranteeing user privacy in social networks against intersection attacks
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A measure of online social networks
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INFOCOM'10 Proceedings of the 29th conference on Information communications
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Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network topologies of MySpace and orkut. Cyworld, the oldest of the three, demonstrates a changing scaling behavior over time in degree distribution. The latest Cyworld data's degree distribution exhibits a multi-scaling behavior, while those of MySpace and orkut have simple scaling behaviors with different exponents. Very interestingly, each of the two e ponents corresponds to the different segments in Cyworld's degree distribution. Certain online social networking services encourage online activities that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks.