Social network structure is predictive of health and wellness.

Social networks influence health-related behavior, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior, it is less understood how the structure or topology of the network, in itself, impacts an individual's health beha...

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Main Authors: Suwen Lin, Louis Faust, Pablo Robles-Granda, Tomasz Kajdanowicz, Nitesh V Chawla
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0217264
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author Suwen Lin
Louis Faust
Pablo Robles-Granda
Tomasz Kajdanowicz
Nitesh V Chawla
author_facet Suwen Lin
Louis Faust
Pablo Robles-Granda
Tomasz Kajdanowicz
Nitesh V Chawla
author_sort Suwen Lin
collection DOAJ
description Social networks influence health-related behavior, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior, it is less understood how the structure or topology of the network, in itself, impacts an individual's health behavior and wellness state. In this paper, we investigate whether the structure or topology of a social network offers additional insight and predictability on an individual's health and wellness. We develop a method called the Network-Driven health predictor (NetCARE) that leverages features representative of social network structure. Using a large longitudinal data set of students enrolled in the NetHealth study at the University of Notre Dame, we show that the NetCARE method improves the overall prediction performance over the baseline models-that use demographics and physical attributes-by 38%, 65%, 55%, and 54% for the wellness states-stress, happiness, positive attitude, and self-assessed health-considered in this paper.
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spelling doaj.art-db5d99de2e764ee599fe5019bf6cffb42022-12-21T22:50:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021726410.1371/journal.pone.0217264Social network structure is predictive of health and wellness.Suwen LinLouis FaustPablo Robles-GrandaTomasz KajdanowiczNitesh V ChawlaSocial networks influence health-related behavior, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior, it is less understood how the structure or topology of the network, in itself, impacts an individual's health behavior and wellness state. In this paper, we investigate whether the structure or topology of a social network offers additional insight and predictability on an individual's health and wellness. We develop a method called the Network-Driven health predictor (NetCARE) that leverages features representative of social network structure. Using a large longitudinal data set of students enrolled in the NetHealth study at the University of Notre Dame, we show that the NetCARE method improves the overall prediction performance over the baseline models-that use demographics and physical attributes-by 38%, 65%, 55%, and 54% for the wellness states-stress, happiness, positive attitude, and self-assessed health-considered in this paper.https://doi.org/10.1371/journal.pone.0217264
spellingShingle Suwen Lin
Louis Faust
Pablo Robles-Granda
Tomasz Kajdanowicz
Nitesh V Chawla
Social network structure is predictive of health and wellness.
PLoS ONE
title Social network structure is predictive of health and wellness.
title_full Social network structure is predictive of health and wellness.
title_fullStr Social network structure is predictive of health and wellness.
title_full_unstemmed Social network structure is predictive of health and wellness.
title_short Social network structure is predictive of health and wellness.
title_sort social network structure is predictive of health and wellness
url https://doi.org/10.1371/journal.pone.0217264
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