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Phantom cascades: The effect of hidden nodes on information diffusion

Belák, Václav; Mashhadi, Afra; Sala, Alessandra; Morrison, Donn
Journal article, Peer reviewed
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URI
http://hdl.handle.net/11250/298549
Date
2015
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  • Institutt for datateknologi og informatikk [7453]
  • Publikasjoner fra CRIStin - NTNU [41957]
Original version
Computer Communications 2015   10.1016/j.comcom.2015.07.012
Abstract
Research on information di usion generally assumes complete knowledge of the

underlying network. However, in the presence of factors such as increasing pri-

vacy awareness, restrictions on application programming interfaces (APIs) and

sampling strategies, this assumption rarely holds in the real world which in turn

leads to an underestimation of the size of information cascades. In this work we

study the e ect of hidden network structure on information di usion processes.

We characterise information cascades through activation paths traversing vis-

ible and hidden parts of the network. We quantify di usion estimation error

while varying the amount of hidden structure in ve empirical and synthetic

network datasets and demonstrate the e ect of topological properties on this

error. Finally, we suggest practical recommendations for practitioners and pro-

pose a model to predict the cascade size with minimal information regarding

the underlying network.
Publisher
Elsevier
Journal
Computer Communications

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