Dresden 2009 – wissenschaftliches Programm

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SYCS: Symposium Data Analysis in Complex Systems

SYCS 1: Data Analysis in Complex Systems: From Data to Models

SYCS 1.1: Hauptvortrag

Freitag, 27. März 2009, 10:15–11:00, BAR SCHÖ

Eat, Drink, and Be Merry: The Spread of Health Phenomena in Complex, Longitudinally Resolved Social Networks — •Nicholas Christakis — Harvard Medical School, Boston, MA, USA — Harvard Faculty of Arts and Sciences, Cambridge, MA, USA

Our work has involved the quantitative investigation of whether and how various health-related phenomena might spread from person to person in complex networks. We have developed various data sets to support these investigations, including a densely interconnected, longitudinally resolved network of 12,067 people assessed repeatedly from 1971 to the present. Each node in this network has an average of 11 ties of various kinds, including friends, siblings, spouses, offspring, coworkers, and neighbors. We observe discernible clusters of individuals with various traits, including obesity, smoking, eating, and happiness, and we document that these clusters are not solely due to selective formation of social ties between nodes. Rather, processes of social and emotional contagion are also apparent within the network. Various aspects of our findings suggest that the spread of social norms is a key mechanism underlying these inter-personal health effects. In other work, we have examined the genetic basis for social network formation and have developed a novel model for the social processes involved (the "attract and introduce" model). The recognition of the role of supra-individual, network effects on individual health lays a further foundation for public health by providing a rationale for the claim that health is not just an individual, but also a collective, phenomenon.