Threshold Models of Collective Behavior

1978 ◽  
Vol 83 (6) ◽  
pp. 1420-1443 ◽  
Author(s):  
Mark Granovetter

Author(s):  
Christopher Winship

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.



1983 ◽  
Vol 9 (3) ◽  
pp. 165-179 ◽  
Author(s):  
Mark Granovetter ◽  
Roland Soong


2020 ◽  
Vol 7 ◽  
pp. 628-648
Author(s):  
Michael Macy ◽  
Anna Evtushenko


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


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


2004 ◽  
Vol 9 (3) ◽  
pp. 233-240 ◽  
Author(s):  
S. Kim

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.



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






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