Damon Centola on 'Diffusion in Social Networks' 

 The applied statistics workshop is back for another exciting installment.  This week we have Damon Centola, RWJ Scholar, Harvard University presenting 'Diffusion in Social Networks: New Theory and Experiments' .  Damon provided the following abstract for his talk: 

 The strength of weak ties is that they tend to be long – they connect 
socially distant locations. Research on “small worlds” shows that these 
long ties can dramatically reduce the “degrees of separation” of a 
social network, thereby allowing ideas and behaviors to rapidly diffuse. 
However, I show that the opposite can also be true. Increasing the 
frequency of long ties in a clustered social network can also inhibit 
the diffusion of collective behavior across a population. For health 
related behaviors that require strong social reinforcement, such as 
dieting, exercising, smoking, or even condom use, successful diffusion 
may depend primarily on the width of bridges between otherwise distant 
locations, not just their length. I present formal and computational 
results that demonstrate these findings, and then propose an 
experimental design for empirically testing the effects of social 
network topology on the diffusion of health behavior. 

 The workshop is held on Wednesday at 12 noon in room N 354, CGIS Knafel (1737 Cambridge St).  And a light lunch will be served.