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Filtering by: Creator Holroyd, Michael H. Remove constraint Creator: Holroyd, Michael H. Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) Rights Statement In Copyright - Non-Commercial Use Permitted Remove constraint Rights Statement: In Copyright - Non-Commercial Use Permitted

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  • Toward a flexible and accurate approach to null network sampling

    Creator:
    Bright, Zachary A.
    Abstract:
    Null networks are a type of random graph that is favored for the analysis of a wide variety of real-world networks, including gene-regulatory networks, food webs, and species co-occurrence matrices. As a hypothesis-generating tool, null networks are invaluable because they can reveal network motifs and unusual large-scale properties of networks...
    Resource Type:
    Masters Thesis
    Full Text:
    column sums are d1 and d2, respectively. The information entropy function for a matrix is defined as: H