Opinion Dynamics with Local Interactions
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 279-284.
Abstract
We study convergence properties of opinion dynamics with local interactions and limited information exchange. We adopt a general model where the agents update their opinions in rounds to a weighted average of the opinions in their neighborhoods. For fixed neighborhoods, we present a simple randomized protocol that converges in expectation to the stable state of the Friedkin-Johnsen model. For opinion-dependent neighborhoods, we show that the Hegselmann-Krause model converges to a stable state if each agent's neighborhood is restricted either to a subset of her acquaintances or to a small random subset of agents. Our experimental findings indicate that for a wide range of parameters, the convergence time and the number of opinion clusters of the neighborhood-restricted variants are comparable to those of the standard Hegselmann-Krause model.
@inproceedings{ijcai2016p47,
title = {Opinion Dynamics with Local Interactions},
author = {Fotakis, Dimitris and Palyvos-Giannas, Dimitris and Skoulakis, Stratis},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {279--284},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/47},
}
TY - CPAPER TI - Opinion Dynamics with Local Interactions AU - Fotakis, Dimitris AU - Palyvos-Giannas, Dimitris AU - Skoulakis, Stratis T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 279 EP - 284 UR - https://ijcai.org/proceedings/2016/47 ER -Copied
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