Flocking Dynamics for Coupling Systems Involving Symmetric and Asymmetric Interactions

2021 ◽  
Vol 19 (12) ◽  
pp. 3869-3879
Author(s):  
Maoli Chen ◽  
Yicheng Liu ◽  
Xiao Wang
Keyword(s):  
Asymmetric Interactions

Influential individuals: Approach to modeling

2018 ◽  
pp. 114-131
Author(s):  
O. Yu. Bondarenko
Keyword(s):  
Social Interactions ◽  
Social Status ◽  
Experimental Approach ◽  
Expert Knowledge ◽  
Formal Models ◽  
Leader Influence ◽  
Learning Game ◽  
Game Theoretic ◽  
Asymmetric Interactions ◽  
Influential Individuals

his article explores theoretical and experimental approach to modeling social interactions. Communication and exchange of information with other people affect individual’s behavior in numerous areas. Generally, such influence is exerted by leaders, outstanding individuals who have a higher social status or expert knowledge. Social interactions are analyzed in the models of social learning, game theoretic models, conformity models, etc. However, there is a lack of formal models of asymmetric interactions. Such models could help elicit certain qualities characterizing higher social status and perception of status by other individuals, find the presence of leader influence and analyze its mechanism.

scholarly journals Inferring symmetric and asymmetric interactions between animals and groups from positional data

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208202
Author(s):  
Edward Hollingdale ◽  
Francisco Javier Pérez-Barbería ◽  
David McPetrie Walker
Keyword(s):  
Asymmetric Interactions ◽  
Positional Data

Fixed points in a Hopfield model with random asymmetric interactions

1995 ◽  
Vol 52 (5) ◽  
pp. 5261-5272 ◽  
Author(s):  
Manoranjan P. Singh ◽  
Zhang Chengxiang ◽  
Chandan Dasgupta
Keyword(s):  
Fixed Points ◽  
Hopfield Model ◽  
Asymmetric Interactions

scholarly journals Survival of the weakest in non-transitive asymmetric interactions among strains of E. coli

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael J. Liao ◽  
Arianna Miano ◽  
Chloe B. Nguyen ◽  
Lin Chao ◽  
Jeff Hasty
Keyword(s):  
Microbial Community ◽  
Cell Membrane ◽  
Genomic Dna ◽  
Dominant Species ◽  
Protein Production ◽  
Competitive Dynamics ◽  
Hierarchical Organization ◽  
Ecological Interactions ◽  
E Coli ◽  
Asymmetric Interactions

AbstractHierarchical organization in ecology, whereby interactions are nested in a manner that leads to a dominant species, naturally result in the exclusion of all but the dominant competitor. Alternatively, non-hierarchical competitive dynamics, such as cyclical interactions, can sustain biodiversity. Here, we designed a simple microbial community with three strains of E. coli that cyclically interact through (i) the inhibition of protein production, (ii) the digestion of genomic DNA, and (iii) the disruption of the cell membrane. We find that intrinsic differences in these three major mechanisms of bacterial warfare lead to an unbalanced community that is dominated by the weakest strain. We also use a computational model to describe how the relative toxin strengths, initial fractional occupancies, and spatial patterns affect the maintenance of biodiversity. The engineering of active warfare between microbial species establishes a framework for exploration of the underlying principles that drive complex ecological interactions.

scholarly journals Asymmetric Interactions of Seed–Predation Network Contribute to Rare‐Species Advantage

2020 ◽  
Vol 101 (4) ◽  
Author(s):  
Xinqiang Xi ◽  
Yangheshan Yang ◽  
Jason M. Tylianakis ◽  
Sihai Yang ◽  
Yuran Dong ◽  
...  
Keyword(s):  
Seed Predation ◽  
Rare Species ◽  
Asymmetric Interactions
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