Jaimie Yejean Park

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The betweenness centrality of a vertex in a graph is a measure for the participation of the vertex in the shortest paths in the graph. The Betweenness centrality is widely used in network analyses. Especially in a social network, the recursive computation of the betweenness centralities of vertices is performed for the community detection and finding the(More)
Twitter, a microblogging service which enables users to build social networks and share information, has been recognized as a potentially powerful marketing platform. Daily deal service is one of the many types of businesses that leverage Twitter for marketing purpose; daily deal providers such as Groupon and LivingSocial are not only engaged in active(More)
In this study, we analyze user image search behavior from a large-scale Yahoo! Image Search query log, based on the hypothesis that behavior is dependent on query type. We categorize queries using two orthogonal taxonomies (subject-based and facet-based) and identify important query types at the intersection of these taxonomies. We study user search(More)
Despite the growing interest in using online social networking services (OSNS) for advertising, little is understood about what contributes to the social advertising performance. In this research, we pose following questions: How many clicks do social advertisements actually receive? What are the characteristics of the advertisements that receive many(More)
Social network services (SNSs) are now the primary advertising medium in terms of both reach and engagement. For both businesses and the SNS providers, it is crucial to find advertising methods that users perceive to be valuable. In this paper, we provide an empirical evidence for the role of different advertising methods on SNSs (i.e. earned vs. paid) on(More)
YouTube is the world's largest video sharing platform where both professional and non-professional users participate in creating, uploading, and viewing content. In this work, we analyze content in the music category created by the non-professionals, which we refer to as user-generated content (UGC). Non-professional users frequently upload content (UGC)(More)
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