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⏲ Duration: 30 sec
✓ Published: 04-Aug-2014
✓ Published: 04-Aug-2014
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Authors: James Abello, Steffen Hadlak, Heidrun Schumann, and Hans-Jörg SchulznnAbstract: Large dynamic networks are targets of analysis in many fields. Tracking temporal changes at scale in these networks is challenging due in part to the fact that small changes can be missed or drowned-out by the rest of the network. For static networks, current approaches allow the identification of specific network elements within their context. However, in the case of dynamic networks, the user is left alon
Authors: James Abello, Steffen Hadlak, Heidrun Schumann, and Hans-Jörg SchulznnAbstract: Large dynamic networks are targets of analysis in many fields. Tracking temporal changes at scale in these networks is challenging due in part to the fact that small changes can be missed or drowned-out by the rest of the network. For static networks, current approaches allow the identification of specific network elements within their context. However, in the case of dynamic networks, the user is left alon
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