Tracking in Dynamic Networks
published: Dec. 1, 2017, recorded: August 2017, views: 4
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In many application scenarios ranging from social networks to IoT, we need to process and analyze a huge amount of data, connected, evolving, linkages being more interesting than entities individually. Modeling such temporal data in nature as graphs provides a conceptually convenient way to support novel and meaningful intelligent applications. At the same time, it also posts grant challenges in many aspects, such as algorithm design and computing system development. In this talk, I will present some interesting and novel application scenarios where graphs play a central role, as well as the corresponding algorithms. Moreover, I will briefly introduce our on-going effort to build a distributed cloud-based graph computing engine that can query huge graphs and networks in seconds.
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