Asymptotic Quantization of Exponential Random Graphs

نویسندگان

  • MEI YIN
  • ALESSANDRO RINALDO
چکیده

We describe the asymptotic properties of the edge-triangle exponential random graph model as the natural parameters diverge along straight lines. We show that as we continuously vary the slopes of these lines, a typical graph drawn from this model exhibits quantized behavior, jumping from one complete multipartite graph to another, and the jumps happen precisely at the normal lines of a polyhedral set with infinitely many facets. As a result, we provide a complete description of all asymptotic extremal behaviors of the model.

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تاریخ انتشار 2014