Frequency based analysis of collective aggregation rules

Chatterjee, Swarnendu; Storcken, Ton

doi:10.1016/j.jmateco.2020.01.003

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…in each simulation, all agents have the same biases and the opinion of all agents have the same weight), the combination of agents' choices can be interpreted as a frequency distribution of opinions in the population (e.g. [56]). If each agent expresses a single opinion and f x is the relative frequency of opinion x in the population, then, under strict proportional representation, f x will correspond to the weight opinion x will have in the emergent institution.…”

Section: Opinion-aggregating Vs Value-aggregating Institutionsmentioning

confidence: 99%

Synchronising institutions and value systems: A model of opinion dynamics mediated by proportional representation

Segovia-Martín¹,

Tamariz²

2021

Preprint

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Individuals increasingly participate in online platforms where they copy, share and form they opinions. Social interactions in these platforms are mediated by digital institutions, which dictate algorithms that in turn affect how users form and evolve their opinions. In this work, we examine the conditions under which convergence on shared opinions can be obtained in a social network where connected agents repeatedly update their normalised cardinal preferences (i.e. value systems) under the influence of a non-constant reflexive signal (i.e. institution) that aggregates populations' information using a proportional representation rule. We analyse the impact of institutions that aggregate (i) expressed opinions (i.e. opinion-aggregation institutions), and (ii) cardinal preferences (i.e. value-aggregation institutions). We find that, in certain regions of the parameter space, moderate institutional influence can lead to moderate consensus and strong institutional influence can lead to polarisation. In our randomised network, local coordination alone in the total absence of institutions does not lead to convergence on shared opinions, but very low levels of institutional influence are sufficient to generate a feedback loop that favours global conventions. We also show that opinion-aggregation may act as a catalyst for value change and convergence. When applied to digital institutions, we show that the best mechanism to avoid extremism is to increase the initial diversity of the value systems in the population.

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Section: Opinion-aggregating Vs Value-aggregating Institutionsmentioning

confidence: 99%

Synchronising institutions and value systems: A model of opinion dynamics mediated by proportional representation

Segovia-Martín¹,

Tamariz²

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…in each simulation, all agents have the same biases and the opinion of all agents have the same weight), the combination of agents’ choices can be interpreted as a frequency distribution of opinions in the population (e.g. [ 62 ]). If each agent expresses a single opinion and f x is the relative frequency of opinion x in the population, then, under strict proportional representation, f x will correspond to the weight opinion x will have in the emergent institution.…”

Section: Introductionmentioning

confidence: 99%

Synchronising institutions and value systems: A model of opinion dynamics mediated by proportional representation

Segovia-Martín

Tamariz

2021

PLoS ONE

View full text Add to dashboard Cite

Individuals increasingly participate in online platforms where they copy, share and form they opinions. Social interactions in these platforms are mediated by digital institutions, which dictate algorithms that in turn affect how users form and evolve their opinions. In this work, we examine the conditions under which convergence on shared opinions can be obtained in a social network where connected agents repeatedly update their normalised cardinal preferences (i.e. value systems) under the influence of a non-constant reflexive signal (i.e. institution) that aggregates populations’ information using a proportional representation rule. We analyse the impact of institutions that aggregate (i) expressed opinions (i.e. opinion-aggregation institutions), and (ii) cardinal preferences (i.e. value-aggregation institutions). We find that, in certain regions of the parameter space, moderate institutional influence can lead to moderate consensus and strong institutional influence can lead to polarisation. In our randomised network, local coordination alone in the total absence of institutions does not lead to convergence on shared opinions, but very low levels of institutional influence are sufficient to generate a feedback loop that favours global conventions. We also show that opinion-aggregation may act as a catalyst for value change and convergence. When applied to digital institutions, we show that the best mechanism to avoid extremism is to increase the initial diversity of the value systems in the population.

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The Sustainability Of The Supply Chain Of The City Of Meknes In Fruits And Vegetables Tested By The Covid-19

Saidi

Bouhid

Napoléone

et al. 2022

2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA)

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Frequency based analysis of collective aggregation rules

Cited by 3 publications

References 8 publications

Synchronising institutions and value systems: A model of opinion dynamics mediated by proportional representation

Synchronising institutions and value systems: A model of opinion dynamics mediated by proportional representation

Synchronising institutions and value systems: A model of opinion dynamics mediated by proportional representation

The Sustainability Of The Supply Chain Of The City Of Meknes In Fruits And Vegetables Tested By The Covid-19

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