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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260520T060039Z
UID:Seminar-dept-1025@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20230221T130000
DTEND:20230221T140000
SUMMARY:School Seminar Series
DESCRIPTION:Dr. Galit Ashkenazi-Golan: Granular DeGroot Dynamics: A Model for Robust Naive Learning in Social Networks\n\nWe study a model of opinion exchange in social networks where a state of the world is realized and every agent receives a zero-mean noisy signal of the realized state. It is known from Golub and Jackson that under DeGroot dynamics agents reach a consensus that is close to the state of the world when the network is large. The DeGroot dynamics, however, is highly non-robust and the presence of a single “stubborn agent” that does not adhere to the updating rule can sway the public consensus to any other value. We introduce a variant of DeGroot dynamics that we call 1/m-DeGroot. 1/m-DeGroot dynamics approximates standard DeGroot dynamics to the nearest rational number with m as its denominator and like the DeGroot dynamics it is Markovian and stationary. We show that in contrast to standard DeGroot dynamics, 1/m-DeGroot dynamics is highly robust both to the presence of stubborn agents and to certain types of misspecifications.\n\n\n\nBased on joint work with Gidi Amir (Bar-Ilan university), Itai Arieli (Technion)  & Ron Peretz (Bar-Ilan University)\n\n\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=1025
LOCATION:Ashton Lecture Theatre
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