Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting event attendance exploring social influence   The problem of predicting people's participation in real-world events has
received considerable attention as it offers valuable insights for human
behavior analysis and event-related advertisement. Today social networks (e.g.
Twitter) widely reflect large popular events where people discuss their
interest with friends. Event participants usually stimulate friends to join the
event which propagates a social influence in the network. In this paper, we
propose to model the social influence of friends on event attendance. We
consider non-geotagged posts besides structures of social groups to infer
users' attendance. To leverage the information on network topology we apply
some of recent graph embedding techniques such as node2vec, HARP and Poincar`e.
We describe the approach followed to design the feature space and feed it to a
neural network. The performance evaluation is conducted using two large music
festivals datasets, namely the VFestival and Creamfields. The experimental
results show that our classifier outperforms the state-of-the-art baseline with
89% accuracy observed for the VFestival dataset.

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The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
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The categories of this paper are: math
14
The categories of this paper are: math-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: cond-mat
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The categories of this paper are: quant-ph
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The categories of this paper are: econ
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn
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The categories of this paper are: physics
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The categories of this paper are: hep-ph