Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Distributed algorithms to determine eigenvectors of matrices on
  spatially distributed networks   Eigenvectors of matrices on a network have been used for understanding
spectral clustering and influence of a vertex. For matrices with small
geodesic-width, we propose a distributed iterative algorithm in this letter to
find eigenvectors associated with their given eigenvalues. We also consider the
implementation of the proposed algorithm at the vertex/agent level in a
spatially distributed network.

5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys