scholarly journals Large-scale behavior of the partial duplication random graph

Author(s):  
Felix Hermann ◽  
Peter Pfaffelhuber
Author(s):  
Mark Newman

An introduction to the mathematics of the Poisson random graph, the simplest model of a random network. The chapter starts with a definition of the model, followed by derivations of basic properties like the mean degree, degree distribution, and clustering coefficient. This is followed with a detailed derivation of the large-scale structural properties of random graphs, including the position of the phase transition at which a giant component appears, the size of the giant component, the average size of the small components, and the expected diameter of the network. The chapter ends with a discussion of some of the shortcomings of the random graph model.


2021 ◽  
Author(s):  
Iris K. Schneider ◽  
Angela Rachael Dorrough ◽  
Celine Frank

The COVID-19 pandemic poses one of the largest behavioral change challenges in the last decades. Because currently, there is no widely available pharmaceutical treatment available to contain the spread of infection, governments worldwide rely – at least to some extent – on behavioral recommendations aimed at reducing spread. The success of this strategy is dependent on the number of people that follow the recommendations. Most recommendations need people to change their behavior or adopt a new behavior. We propose that such behavioral change, with direct costs and delayed benefits, is a source of conflict and mixed feelings. This ambivalence negatively affects adherence to such recommendations. We present three studies that support our hypotheses: the more ambivalent people are about the recommendations, the less they follow them. We also examined the effect of the mixed emotions of hope and worry on adherence and find that it positively relates to adherence. Our findings replicated both in a U.S. sample as well as a representative German sample. Our work is the first to investigate the role of ambivalence in large-scale behavior change and highlight the importance of understanding the conflict that comes with changing behavior. We discuss implications for policy and communication.


2015 ◽  
Vol 93 (9) ◽  
pp. 4277-4284 ◽  
Author(s):  
A. Vallée ◽  
I. Breider ◽  
J. A. M. van Arendonk ◽  
H. Bovenhuis

2020 ◽  
Vol 152 ◽  
pp. 107029
Author(s):  
Sergii Babkin ◽  
Jonathan R. Stewart ◽  
Xiaochen Long ◽  
Michael Schweinberger

2009 ◽  
Vol 106 (37) ◽  
pp. 15567-15572 ◽  
Author(s):  
Aparna Baskaran ◽  
M. Cristina Marchetti

Unicellular living organisms, such as bacteria and algae, propel themselves through a medium via cyclic strokes involving the motion of cilia and flagella. Dense populations of such “active particles” or “swimmers” exhibit a rich collective behavior at large scales. Starting with a minimal physical model of a stroke-averaged swimmer in a fluid, we derive a continuum description of a suspension of active organisms that incorporates fluid-mediated, long-range hydrodynamic interactions among the swimmers. Our work demonstrates that hydrodynamic interactions provide a simple, generic origin for several nonequilibrium phenomena predicted or observed in the literature. The continuum model derived here does not depend on the microscopic physical model of the individual swimmer. The details of the large-scale physics do, however, differ for “shakers” (particles that are active but not self-propelled, such as melanocytes) and “movers” (self-propelled particles), “pushers” (most bacteria) and “pullers” (algae like Chlamydomonas). Our work provides a classification of the large-scale behavior of all these systems.


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