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An Hypergraph Data Model for Expert Finding in Multimedia Social Networks,ular social media networks – particularly interesting for . (SNA) applications – that combine information on users, belonging to one or more social communities, together with all the multimedia contents that can be generated and used in the related environments. In this work, we present a novel . te

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Congratulations! Dual Graphs Are Now Orientated!,uch surfaces can be efficiently represented by the pair of dual plane graphs: neighborhood (primal) graph and its dual. By defining orientation of edges in the primal graph and use of Local Binary Patters (LBPs), we can categorize the vertices corresponding to the pixel into critical (maximum, minim

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An Attributed Graph Embedding Method Using the Tree-Index Algorithm,ive of strengthening the vertex labels. For each iteration of the tree-index method, we compute a probability distribution in terms of the frequency of the strengthened labels. With each probability distribution, we compute a Shannon entropy to measure the uncertainty of the strengthened labels. For

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Network Time Series Analysis Using Transfer Entropy,nformation theoretic tools for characterising information flow between time series, and how to infer networks representing time series data. We explore two different approaches. The first uses transfer entropy as a means of characterising information flow and measures network similarity using Jensen

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