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Opinion dynamics with emergent collective memory: A society shaped by its own past

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Opinion dynamics with emergent collective memory: A society shaped by its own past. / Boschi, Gioia; Cammarota, Chiara; Kuehn, Reimer.

In: PHYSICA A, Vol. 558, 124909, 15.11.2020, p. 1-33.

Research output: Contribution to journalArticlepeer-review

Harvard

Boschi, G, Cammarota, C & Kuehn, R 2020, 'Opinion dynamics with emergent collective memory: A society shaped by its own past', PHYSICA A, vol. 558, 124909, pp. 1-33. https://doi.org/10.1016/j.physa.2020.124909

APA

Boschi, G., Cammarota, C., & Kuehn, R. (2020). Opinion dynamics with emergent collective memory: A society shaped by its own past. PHYSICA A, 558, 1-33. [124909]. https://doi.org/10.1016/j.physa.2020.124909

Vancouver

Boschi G, Cammarota C, Kuehn R. Opinion dynamics with emergent collective memory: A society shaped by its own past. PHYSICA A. 2020 Nov 15;558:1-33. 124909. https://doi.org/10.1016/j.physa.2020.124909

Author

Boschi, Gioia ; Cammarota, Chiara ; Kuehn, Reimer. / Opinion dynamics with emergent collective memory: A society shaped by its own past. In: PHYSICA A. 2020 ; Vol. 558. pp. 1-33.

Bibtex Download

@article{213fb5efccdc4b7584ea89fd3914d891,
title = "Opinion dynamics with emergent collective memory: A society shaped by its own past",
abstract = "In order to understand the development of common orientation of opinions in the modern world we propose a model of a society described as a large collection of agents that exchange their expressed opinions under the influence of their mutual interactions and external events. In particular we introduce an interaction bias which results in the emergence of a collective memory such that the society is able to store and recall information coming from several external signals. Our model shows how the inner structure of the society and its future reactions are shaped by its own history. We provide an analytical explanation of such mechanism and we study the features of external influences with higher impact on the society. We show the emergent similarity between the reaction of a society modelled in this way and the Hopfield-like mechanism of information retrieval in Neural Networks.",
keywords = "Collective memory, External information, History of agreement and disagreement, Opinion dynamics",
author = "Gioia Boschi and Chiara Cammarota and Reimer Kuehn",
year = "2020",
month = nov,
day = "15",
doi = "10.1016/j.physa.2020.124909",
language = "English",
volume = "558",
pages = "1--33",
journal = "PHYSICA A",
issn = "0378-4371",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Opinion dynamics with emergent collective memory: A society shaped by its own past

AU - Boschi, Gioia

AU - Cammarota, Chiara

AU - Kuehn, Reimer

PY - 2020/11/15

Y1 - 2020/11/15

N2 - In order to understand the development of common orientation of opinions in the modern world we propose a model of a society described as a large collection of agents that exchange their expressed opinions under the influence of their mutual interactions and external events. In particular we introduce an interaction bias which results in the emergence of a collective memory such that the society is able to store and recall information coming from several external signals. Our model shows how the inner structure of the society and its future reactions are shaped by its own history. We provide an analytical explanation of such mechanism and we study the features of external influences with higher impact on the society. We show the emergent similarity between the reaction of a society modelled in this way and the Hopfield-like mechanism of information retrieval in Neural Networks.

AB - In order to understand the development of common orientation of opinions in the modern world we propose a model of a society described as a large collection of agents that exchange their expressed opinions under the influence of their mutual interactions and external events. In particular we introduce an interaction bias which results in the emergence of a collective memory such that the society is able to store and recall information coming from several external signals. Our model shows how the inner structure of the society and its future reactions are shaped by its own history. We provide an analytical explanation of such mechanism and we study the features of external influences with higher impact on the society. We show the emergent similarity between the reaction of a society modelled in this way and the Hopfield-like mechanism of information retrieval in Neural Networks.

KW - Collective memory

KW - External information

KW - History of agreement and disagreement

KW - Opinion dynamics

UR - http://www.scopus.com/inward/record.url?scp=85087966876&partnerID=8YFLogxK

U2 - 10.1016/j.physa.2020.124909

DO - 10.1016/j.physa.2020.124909

M3 - Article

VL - 558

SP - 1

EP - 33

JO - PHYSICA A

JF - PHYSICA A

SN - 0378-4371

M1 - 124909

ER -

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