A network approach to understanding obesogenic environments for children in Pennsylvania

Emily A. Knapp/ Usama Bilal/ Bridget T. Burke/ Geoff B. Dougherty/ Thomas A. Glass

Abstract Network methods have been applied to obesity to map connections between obesity-related genes, model biological feedback mechanisms and potential interventions, and to understand the spread of obesity through social networks. However, network methods have not been applied to understanding the obesogenic environment. Here, we created a network of 32 features of communities hypothesized to be related to obesity. Data from an existing study of determinants of obesity among 1,288 communitie(..)

DOI: 10.21307/connections-2018-001

Techniques: Dichotomizing a Network

Stephen P. Borgatti/ Eric Quintane

Abstract This techniques guide provides a brief answer to the question: How to choose a dichotomization threshold? We propose a two step approach to selecting a dichotomization threshold. We illustrate the approaches using two datasets and provide instructions on how to perform these approaches in R and UCINET.

DOI: 10.21307/connections-2018-002

A collection of tributes to Linton C. Freeman

Russ Bernard/ Elisa Bienenstock/ Steve Borgatti/ Ulrik Brandes/ Ron Burt/ Carter Butts/ Pat Doreian/ Tom Fararo/ Katie Faust/ Jeff Johnson/ Alaina Michaelson Kanfer/ David Krackhardt/ John Skvoretz/ Barry Wellman

DOI: 10.21307/connections-2018-003