publication . Conference object . Preprint . 2014

Anticipating activity in social media spikes

Higham, D. J.; Alexander V. Mantzaris; Grindrod, P.; Otley, A.; Laflin, P.;
Open Access
  • Published: 08 Jun 2014
We propose a novel mathematical model for the activity of microbloggers during an external, event-driven spike. The model leads to a testable prediction of who would become most active if a spike were to take place. This type of information is of great interest to commercial organisations, governments and charities, as it identifies key players who can be targeted with information in real time when the network is most receptive. The model takes account of the fact that dynamic interactions evolve over an underlying, static network that records who listens to whom. The model is based on the assumption that, in the case where the entire community has become aware ...
free text keywords: Computer Science - Social and Information Networks, Physics - Physics and Society
Related Organizations
Funded by
RCUK| Horizon: Digital Economy Hub at the University of Nottingham
  • Funder: Research Council UK (RCUK)
  • Project Code: EP/G065802/1
  • Funding stream: EPSRC
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