Titlebook: User Community Discovery; Georgios Paliouras,Symeon Papadopoulos,Yiannis Kom Book 2015 Springer International Publishing Switzerland 2015

diathermy

Community Discovery: Simple and Scalable Approaches,d/or edges while retaining the network’s underlying community structure. Finally, we review research efforts that leverage various parallel and distributed computing paradigms in community discovery, which can facilitate finding communities in tera- and peta-scale networks.

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Discovering Communities in Multi-relational Networks,n, utility integration, feature integration, and partition integration. Learning or ranking the weight for each relation in MRN constitutes building blocks of network, utility and feature integrations. Thus, we turn our attention into several co-ranking frameworks on MRNs. We then discuss two differ

Texture

Group Types in Social Media,omputational sociology have provided a new lens to study social aggregations along their social and topical dimensions. Using the online photo sharing community Flickr as a main running example, we survey some techniques that have been used to get a multi-faceted description of group types and we sh

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BOLUS

Innocence

Georgios Paliouras,Symeon Papadopoulos,Dimitrios Vogiatzise of folia­ tion, that one says is "simple". For an arbitrary foliation, it is only l- u L ally [on a "simpIe" open set U] that the foliation appears as a stack of plaques and admits a local quotient manifold. Globally, a leaf L may - - return and cut a simple open set U in several plaques, sometime

柔软

Yiye Ruan,David Fuhry,Jiongqian Liang,Yu Wang,Srinivasan Parthasarathyries. Such passages are inserted between *. In most textbooks about Riemannian geometry, the starting point is the local theory of embedded surfaces. Here we begin directly with the so-called "abstract" manifolds. To illustrate our point of view, a series of examples is developed each time a new def

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FLEET

nd trajectories can also have important geometric features, we use shape as an all-encompassing term for the descriptors of curves, scalar functions and trajectories. Our framework relies on functional representation and analysis of curves and scalar functions, by square-root velocity fields (SRVF)

FACT