Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structural importance and evolution: an application to financial
  transaction networks   A fundamental problem in the study of networks is the identification of
important nodes. This is typically achieved using centrality metrics, which
rank nodes in terms of their position in the network. This approach works well
for static networks, that do not change over time, but does not consider the
dynamics of the network. Here we propose instead to measure the importance of a
node based on how much a change to its strength will impact the global
structure of the network, which we measure in terms of the spectrum of its
adjacency matrix. We apply our method to the identification of important nodes
in equity transaction networks, and we show that, while it can still be
computed from a static network, our measure is a good predictor of nodes
subsequently transacting. This implies that static representations of temporal
networks can contain information about their dynamics.

23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess