Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scale-free Networks without Growth or Preferential Attachment: Good get
  Richer   A new mechanism leading to scale-free networks is proposed in this letter. It
is shown that in many cases of interest, the connectivity power-law behavior is
neither related to dynamical properties nor to preferential attachment.
Instead, we show that without increasing the number of vertices in time and
without applying the so called {\it ``rich-get-richer''} condition we obtain
networks whose statistical properties are scale-free. Assigning a quenched
fitness value $x_i$ to every vertex, and drawing links among vertices with a
probability depending on the fitnesses of the two involved sites, gives rise to
what we call a {\it ``good-get-richer''} mechanism, in which sites with larger
fitness are more likely to become hubs (i.e., to be highly connected). This
procedure generates power-law behaviors for various fitness distributions and
attaching rules.

22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin