Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint Estimation of the Non-parametric Transitivity and Preferential
  Attachment Functions in Scientific Co-authorship Networks   We propose a statistical method to estimate simultaneously the non-parametric
transitivity and preferential attachment functions in a growing network, in
contrast to conventional methods that either estimate each function in
isolation or assume some functional form for them. Our model is shown to be a
good fit to two real-world co-authorship networks and be able to bring to light
intriguing details of the preferential attachment and transitivity phenomena
that would be unavailable under traditional methods. We also introduce a method
to quantify the amount of contributions of those phenomena in the growth
process of a network based on the probabilistic dynamic process induced by the
model formula. Applying this method, we found that transitivity dominated PA in
both co-authorship networks. This suggests the importance of indirect relations
in scientific creative processes. The proposed methods are implemented in the R
package FoFaF.

2
The categories of this paper are: math
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
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The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg