On the Number of Non-zero Elements of Joint Degree Vectors
classification
🧮 math.CO
keywords
degreenumberjointelementsgraphuppervectorsbidegree-distribution
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Joint degree vectors give the number of edges between vertices of degree $i$ and degree $j$ for $1\le i\le j\le n-1$ in an $n$-vertex graph. We find lower and upper bounds for the maximum number of nonzero elements in a joint degree vector as a function of $n$. This provides an upper bound on the number of estimable parameters in the exponential random graph model with bidegree-distribution as its sufficient statistics.
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