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Dynamics of Information Diffusion

Kim, Minkyoung

Description

Real diffusion networks are complex and dynamic, since underlying social structures are not only far-reaching beyond a single homogeneous system but also frequently changing with the context of diffusion. Thus, studying topic-related diffusion across multiple social systems is important for a better understanding of such realistic situations. Accordingly, this thesis focuses on uncovering topic-related diffusion dynamics across heterogeneous social networks in both model-driven and...[Show more]

CollectionsOpen Access Theses
Date published: 2015-04-30
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/13652

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