Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Observability transition in real networks   We consider the observability model in networks with arbitrary topologies. We
introduce a system of coupled nonlinear equations, valid under the locally
tree-like ansatz, to describe the size of the largest observable cluster as a
function of the fraction of directly observable nodes present in the network.
We perform a systematic analysis on 95 real-world graphs and compare our
theoretical predictions with numerical simulations of the observability model.
Our method provides almost perfect predictions in the majority of the cases,
even for networks with very large values of the clustering coefficient.
Potential applications of our theory include the development of efficient and
scalable algorithms for real-time surveillance of social networks, and
monitoring of technological networks.

37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ