Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Model of complex networks based on citation dynamics   Complex networks of real-world systems are believed to be controlled by
common phenomena, producing structures far from regular or random. These
include scale-free degree distributions, small-world structure and assortative
mixing by degree, which are also the properties captured by different random
graph models proposed in the literature. However, many (non-social) real-world
networks are in fact disassortative by degree. Thus, we here propose a simple
evolving model that generates networks with most common properties of
real-world networks including degree disassortativity. Furthermore, the model
has a natural interpretation for citation networks with different practical
applications.

34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
2
The categories of this paper are: math