Naming game with biased assimilation over adaptive networks

2018 ◽  
Vol 490 ◽  
pp. 260-268 ◽  
Author(s):  
Guiyuan Fu ◽  
Weidong Zhang
Keyword(s):  
Adaptive Networks ◽  
Naming Game ◽  
Biased Assimilation

scholarly journals Fishing out collective memory of migratory schools

2014 ◽  
Vol 11 (95) ◽  
pp. 20140043 ◽  
Author(s):  
Giancarlo De Luca ◽  
Patrizio Mariani ◽  
Brian R. MacKenzie ◽  
Matteo Marsili
Keyword(s):  
Collective Memory ◽  
Large Scale ◽  
Group Formation ◽  
Individual Preference ◽  
Relative Number ◽  
Collective Behaviour ◽  
Control Group ◽  
Adaptive Networks ◽  
Modelling Framework ◽  
Migration Pathways

Animals form groups for many reasons, but there are costs and benefits associated with group formation. One of the benefits is collective memory. In groups on the move, social interactions play a crucial role in the cohesion and the ability to make consensus decisions. When migrating from spawning to feeding areas, fish schools need to retain a collective memory of the destination site over thousands of kilometres, and changes in group formation or individual preference can produce sudden changes in migration pathways. We propose a modelling framework, based on stochastic adaptive networks, that can reproduce this collective behaviour. We assume that three factors control group formation and school migration behaviour: the intensity of social interaction, the relative number of informed individuals and the strength of preference that informed individuals have for a particular migration area. We treat these factors independently and relate the individuals’ preferences to the experience and memory for certain migration sites. We demonstrate that removal of knowledgeable individuals or alteration of individual preference can produce rapid changes in group formation and collective behaviour. For example, intensive fishing targeting the migratory species and also their preferred prey can reduce both terms to a point at which migration to the destination sites is suddenly stopped. The conceptual approaches represented by our modelling framework may therefore be able to explain large-scale changes in fish migration and spatial distribution.

scholarly journals Biased assimilation, homophily, and the dynamics of polarization

2013 ◽  
Vol 110 (15) ◽  
pp. 5791-5796 ◽  
Author(s):  
P. Dandekar ◽  
A. Goel ◽  
D. T. Lee
Keyword(s):  
Biased Assimilation

Debunking Misinformation About Genetically Modified Food Safety on Social Media: Can Heuristic Cues Mitigate Biased Assimilation?

2021 ◽  
pp. 107554702110220
Author(s):  
Yuan Wang
Keyword(s):  
Social Media ◽  
Food Safety ◽  
Experimental Design ◽  
Genetically Modified ◽  
Genetically Modified Food ◽  
Gm Food ◽  
Social Endorsement ◽  
Biased Assimilation ◽  
Source Cues

Focusing on debunking misinformation about genetically modified (GM) food safety in a social media context, this study examines whether source cues and social endorsement cues interact with individuals’ preexisting beliefs about GM food safety in influencing misinformation correction effectiveness. Using an experimental design, this study finds that providing corrective messages can effectively counteract the influence of misinformation, especially when the message is from an expert source and receives high social endorsements. Participants evaluate misinformation and corrective messages in a biased way that confirms their preexisting beliefs about GM food safety. However, their initial misperceptions can be reduced when receiving corrective messages.

Polymeric elements for adaptive networks

2007 ◽  
Vol 52 (1) ◽  
pp. 159-166 ◽  
Author(s):  
V. V. Erokhin ◽  
T. S. Berzina ◽  
M. P. Fontana
Keyword(s):  
Adaptive Networks
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