Threshold Models of Collective Behavior

1978 ◽  
Vol 83 (6) ◽  
pp. 1420-1443 ◽  
Author(s):  
Mark Granovetter
Keyword(s):  
Collective Behavior ◽  
Threshold Models

Threshold Models of Social Influence

2011 ◽  
Author(s):  
Christopher Winship
Keyword(s):  
Social Influence ◽  
Collective Behavior ◽  
Social Groups ◽  
Random Networks ◽  
Threshold Models ◽  
Random Group ◽  
Affiliation Networks ◽  
Decision Making Processes ◽  
Influence Networks ◽  
Simple Heuristics

This article explores threshold models of social influence, with a particular focus on the consequences of simple heuristics in the context of social influence on collective decision-making processes. It first provides an overview of social-influence and threshold models before discussing influence cascades on complete and random networks. It then considers cascades in networks that emphasize the importance of social groups in the formation of influence networks, namely random-group networks and generalized-affiliation networks. It also describes cascade-seeding strategies and demonstrates how the structure of influence networks shapes the roles of individual actors (prominent or not) in the generation of collective behavior, including wild cascades of influence.

Threshold models of diffusion and collective behavior

1983 ◽  
Vol 9 (3) ◽  
pp. 165-179 ◽  
Author(s):  
Mark Granovetter ◽  
Roland Soong
Keyword(s):  
Collective Behavior ◽  
Threshold Models

scholarly journals Threshold Models of Collective Behavior II: The Predictability Paradox and Spontaneous Instigation

2020 ◽  
Vol 7 ◽  
pp. 628-648
Author(s):  
Michael Macy ◽  
Anna Evtushenko
Keyword(s):  
Collective Behavior ◽  
Threshold Models

Effect of difference of agent's interaction on collective behavior

2008 ◽  
Author(s):  
Iwanaga Saori ◽  
Namatame Akira
Keyword(s):  
Collective Behavior

: Race: Individual and Collective Behavior . Edgar T. Thompson, Everett C. Hughes.

1961 ◽  
Vol 8 (4) ◽  
pp. 371-372
Author(s):  
Werner J. Cahnman
Keyword(s):  
Collective Behavior

Voronoi Analysis of a Soccer Game

2004 ◽  
Vol 9 (3) ◽  
pp. 233-240 ◽  
Author(s):  
S. Kim
Keyword(s):  
Collective Behavior ◽  
Quantitative Assessment ◽  
The Other ◽  
Analysis Method ◽  
Random System ◽  
Soccer Game ◽  
Voronoi Polygons ◽  
The Mean

This paper describes a Voronoi analysis method to analyze a soccer game. It is important for us to know the quantitative assessment of contribution done by a player or a team in the game as an individual or collective behavior. The mean numbers of vertices are reported to be 5–6, which is a little less than those of a perfect random system. Voronoi polygons areas can be used in evaluating the dominance of a team over the other. By introducing an excess Voronoi area, we can draw some fruitful results to appraise a player or a team rather quantitatively.

Collective behavior in ants and engineered networks

2016 ◽  
Author(s):  
Deborah M. Gordon
Keyword(s):  
Collective Behavior

Collective behavior in Football: A festival theory approach

2016 ◽  
Vol 5 ◽  
pp. 61-74
Author(s):  
Seung Back Han
Keyword(s):  
Collective Behavior ◽  
Theory Approach

Deterministic Threshold Models in the Theory of Epidemics

1974 ◽  
Author(s):  
Paul Waltman
Keyword(s):  
Threshold Models
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