Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimizing state change detection in functional temporal networks
  through dynamic community detection   Dynamic community detection provides a coherent description of network
clusters over time, allowing one to track the growth and death of communities
as the network evolves. However, modularity maximization, a popular method for
performing multilayer community detection, requires the specification of an
appropriate null model as well as resolution and interlayer coupling
parameters. Importantly, the ability of the algorithm to accurately detect
community evolution is dependent on the choice of these parameters. In
functional temporal networks, where evolving communities reflect changing
functional relationships between network nodes, it is especially important that
the detected communities reflect any state changes of the system. Here, we
present analytical work suggesting that a uniform null model provides improved
sensitivity to the detection of small evolving communities in temporal
correlation networks. We then propose a method for increasing the sensitivity
of modularity maximization to state changes in nodal dynamics by modeling
self-identity links between layers based on the self-similarity of the network
nodes between layers. This method is more appropriate for functional temporal
networks from both a modeling and mathematical perspective, as it incorporates
the dynamic nature of network nodes. We motivate our method based on
applications in neuroscience where network nodes represent neurons and
functional edges represent similarity of firing patterns in time. Finally, we
show that in simulated data sets of neuronal spike trains, updating interlayer
links based on the firing properties of the neurons provides superior community
detection of evolving network structure when group of neurons change their
firing properties over time.

33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph