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conference paper
Diffusion social learning over weakly-connected graphs
2016
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In this paper, we study diffusion social learning over weakly-connected graphs. We show that the asymmetric flow of information hinders the learning abilities of certain agents regardless of their local observations. Under some circumstances that we clarify in this work, a scenario of total influence (or "mind-control") arises where a set of influential agents ends up shaping the beliefs of non-influential agents. We derive useful closed-form expressions that characterize this influence, and which can be used to motivate design problems to control it. We provide simulation examples to illustrate the results.
Type
conference paper
Authors
Publication date
2016
Publisher
Published in
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Start page
4119
End page
4123
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Shanghai | March 20-25, 2016 | |
Available on Infoscience
December 19, 2017
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