Quan Zheng

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According to the characteristics of 3Tnet VOD, we propose a design and implementation of Media Distribution System for streaming media, which utilizes the bandwidth of 3Tnet and improves the media distribution speed, while also providing a more scalable distribution scheme. Simulation results show that the proposed scheme could not only support VOD service(More)
Most relationships in a social network have an element of asymmetry: the strength of A's relationship to B need not be the same as B's to A; and relationships that are based on power or influence have a natural flow associated with them. It is therefore natural to model many kinds of social networks by directed graphs, with a node corresponding to each(More)
The interactions in real-world social networks change over time. Dynamic social network analysis aims to understand the structures in networks as they evolve, building on static analysis techniques but including variation. Working directly with the graphs that represent social networks is difficult, and it has become common to use spectral techniques that(More)
The relationships within criminal groups are of qualitatively different kinds, and are typically not symmetric because of issues of power and influence. Social network analysis techniques have not been able to model this richness of relationships well. We develop a new technique for spectral embedding of directed graphs, and combine it with a recently(More)
In this paper, we design and implement a distributed video retrieval system with support for semantic queries named XUNET. It firstly uses a self-made video semantic processing tool, which is based on a video analysis tool and added with semantic graph annotation and natural language processing functions, to parse videos and generate corresponding MPEG-7(More)
Most real-world social network analysis treats edges (relationships) as having different intensities (weights), but the same qualitative properties. We address the problem of modelling edges of qualitatively different types that nevertheless interact with one another. For example, influence flows along friend and colleagues edges differently, but treating(More)
Real-world social networks contain relationships of multiple different types, but this richness is often ignored in graph-theoretic modelling. We show how two recently developed spectral embedding techniques, for directed graphs (relationships are asymmetric) and for signed graphs (relationships are both positive and negative), can be combined. This(More)
Dynamic social network analysis aims to understand the structures in networks as they evolve, as nodes appear and disappear, and as edge weights change. Working directly with a social network graph is difficult, and it has become standard to use spectral techniques that embed a graph in a geometry. Analysis can then be done in the geometry where distance(More)