A Mathematical Foundation for Stochastic Opinion Dynamics
2019 ◽
Vol 6
(1)
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pp. 20-42
Keyword(s):
This article presents a stochastic opinion dynamics model where (a) the opinion of each agent in a network is modeled as a probability distribution as against a point object, (b) consensus is defined as the stability region of the ensuing set of stochastic difference equations, and (c) compromise solutions can be derived between agents who don't have a consensus. The model is well suited for tracking opinion dynamics over large online systems such as Twitter and Yelp where opinions need to be extracted from the user-generated text data. Theoretical conditions for the existence of consensus and the impact that stubborn agents have on opinion dynamics are also presented.
2020 ◽
Vol 747
◽
pp. 012051
Keyword(s):
Keyword(s):
2020 ◽
Vol 18
(06)
◽
pp. 2050029
2018 ◽
Vol 24
(4)
◽
pp. 318-330
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Keyword(s):
Keyword(s):
1997 ◽
Vol 77
(03)
◽
pp. 504-509
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Keyword(s):
Keyword(s):
2018 ◽
Vol 35
(4)
◽
pp. 133-136