Completely random measures for modeling power laws in sparse graphs

22 Mar 2016Diana CaiTamara Broderick

Network data appear in a number of applications, such as online social networks and biological networks, and there is growing interest in both developing models for networks as well as studying the properties of such data. Since individual network datasets continue to grow in size, it is necessary to develop models that accurately represent the real-life scaling properties of networks... (read more)

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