Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Tractable Complex Network Model based on the Stochastic Mean-field
  Model of Distance   Much recent research activity has been devoted to empirical study and
theoretical models of complex networks (random graphs) with three qualitative
features: power-law degree distribution, local clustering of edges, and small
diameter. We point out a new (in this context) platform for such models -- the
stochastic mean-field model of distance -- and within this platform study a
simple two-parameter proportional attachment model. The model is
mathematicallly natural, permits a wide variety of explicit calculations, has
the desired three qualitative features, and fits the complete range of degree
scaling exponents and clustering parameters; in these respects it compares
favorably to existing models.

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The categories of this paper are: hep-th
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The categories of this paper are: dg-ga
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The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
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The categories of this paper are: gr-qc
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The categories of this paper are: cs
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The categories of this paper are: eess
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The categories of this paper are: stat
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: ao-sci
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The categories of this paper are: adap-org
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The categories of this paper are: econ
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The categories of this paper are: quant-ph
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The categories of this paper are: patt-sol