Title: Tracking the emergence of 
cooperation in complex networked populations

Abstract:
Social networks affect in such a fundamental way the dynamics of 
the population they support that the global, population-wide 
behavior that one observes often bears no relation to the individ- 
ual processes it stems from. Up to now, linking the global 
networked dynamics to such individual mechanisms has remained 
elusive. Here we define a dynamic observable and use it to track 
the self- organization of cooperators when co-evolving with 
defectors in networked populations interacting via a Prisoner s 
Dilemma. We find that homogeneous networks promote the coexistence 
between cooperators and defectors, while heterogeneous networks 
favor the coordination between them. Using the same observable, 
we show how the global dynamics co-evolves with the motifs of 
cooperators in the population, the overall emergence of cooperation 
depending sensitively on this co-evolution.