title: Methods and measures for the description of epidemiologic contact networks.
abstract: This article describes new methods to characterize epidemiologic contact networks that involve links that are being dynamically formed and dissolved. The new social network measures are designed with an epidemiologic interpretation in mind. These methods are intended to capture dynamic aspects of networks related to their potential to spread infection. This differs from many social network measures that are based on static networks. The networks are formulated as transmission graphs (TGs), in which nodes represent relationships between two individuals and directed edges (links) represent the potential of an individual in one relationship to carry infection to an individual in another relationship. Network measures derived from transmission graphs include "source counts," which are defined as the number of prior relationships that could potentially transmit infection to a particular node or individual.
authors.affiliation: The Department of Epidemiology, University of Michigan, 109 Observatory Street, Ann Arbor, MI 48109-2029, USA. criolo@umich.edu
authors.forename: C S
authors.initials: CS
authors.lastname: Riolo
authors.forename: J S
authors.initials: JS
authors.lastname: Koopman
authors.forename: S E
authors.initials: SE
authors.lastname: Chick
mesh_terms: D016358:Contact Tracing / Q000379:methods*; D018562:Disease Transmission, Infectious; D006069:Gonorrhea / Q000453:epidemiology / Q000635:transmission; D006801:Humans; D007239:Infections / Q000453:epidemiology* / Q000635:transmission*; D008960:Models, Psychological; D015233:Models, Statistical; D012944:Social Support; D012963:Sociometric Techniques; D013269:Stochastic Processes