Robust Naïve Learning in Social Networks
نویسندگان
چکیده
We study a model of opinion exchange in social networks where state the world is realized and every agent receives zero-mean noisy signal state. It known from Golub Jackson that under DeGroot dynamics agents reach consensus which close to when network large. The dynamics, however, highly non-robust presence single `bot' does not adhere updating rule, can sway public any other value.
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ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2021
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.3791413