Bounding Extremal Degrees of Edge-Independent Random Graphs Using Relative Entropy
نویسنده
چکیده
Edge-independent random graphs are a model of random graphs in which each potential edge appears independently with an individual probability. Based on the relative entropy method, we determine the upper and lower bounds for the extremal vertex degrees using the edge probability matrix and its largest eigenvalue. Moreover, an application to random graphs with given expected degree sequences is presented.
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عنوان ژورنال:
- Entropy
دوره 18 شماره
صفحات -
تاریخ انتشار 2016