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      Discrete Signal Processing on Graphs: Frequency Analysis

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          Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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            Coauthorship networks and patterns of scientific collaboration.

            M. Newman (2004)
            By using data from three bibliographic databases in biology, physics, and mathematics, respectively, networks are constructed in which the nodes are scientists, and two scientists are connected if they have coauthored a paper. We use these networks to answer a broad variety of questions about collaboration patterns, such as the numbers of papers authors write, how many people they write them with, what the typical distance between scientists is through the network, and how patterns of collaboration vary between subjects and over time. We also summarize a number of recent results by other authors on coauthorship patterns.
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              Networks, Crowds, and Markets

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                Author and article information

                Journal
                IEEE Transactions on Signal Processing
                IEEE Trans. Signal Process.
                Institute of Electrical and Electronics Engineers (IEEE)
                1053-587X
                1941-0476
                June 2014
                June 2014
                : 62
                : 12
                : 3042-3054
                Article
                10.1109/TSP.2014.2321121
                1473abba-65ea-4826-993e-3fefe2b6f6b2
                © 2014
                History

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