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The maximal vertex degree in the Twitter graph is more than one million.
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The maximum vertex degree is denoted by Δ 1, the second maximum by Δ 2, and the minimum vertex degree δ.
The maximum vertex degree is denoted by Δ, the minimum vertex degree is denoted by δ, and the minimum non-pendent vertex degree is denoted by (delta_{1}).
Suppose G has the maximum vertex degree equal to d 1.
As usual notion, the maximum vertex degree is denoted by Δ = Δ ( G ), while the minimum vertex degree is denoted by δ = δ ( G ).
Both of these software packages use heuristic search algorithms to find the best scoring network topology in a vast space of possible directed graphs, usually with some constraints on the maximal vertex in-degree.
Moreover, in a directed network this metric can be extended to in and out vertex strength, as with vertex degree.
Since this model considers list vertex degrees, we call it the list vertex degree (LVD) model.
Since this model considers gene vertex degrees, we call it the gene vertex degree (GVD) model.
The occurrence probability of a gene vertex would be given by (gene vertex degree)/ lists.
The probability of a list vertex being connected to a gene would be given by (list vertex degree)/ genes.
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