Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Analysing Collective Behaviour in Temporal Networks Using Event Graphs
  and Temporal Motifs   Historically studies of behaviour on networks have focused on the behaviour
of individuals (node-based) or on the aggregate behaviour of the entire
network. We propose a new method to decompose a temporal network into
macroscale components and to analyse the behaviour of these components, or
collectives of nodes, across time. This method utilises all available
information in the temporal network (i.e. no temporal aggregation), combining
both topological and temporal structure using temporal motifs and inter-event
times. This allows us create an embedding of a temporal network in order to
describe behaviour over time and at different timescales. We illustrate this
method using an example of digital communication data collected from an online
social network.

4
The categories of this paper are: cond-mat
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The categories of this paper are: stat
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci