What You Believe Travels Differently: Information and Infection Dynamics across Sub-networks.

TitleWhat You Believe Travels Differently: Information and Infection Dynamics across Sub-networks.
Publication TypeJournal Article
Year of Publication2010
AuthorsGrim P, Reade C, Singer DJ, Fisher S, Majewicz S
JournalConnect (Tor)
Volume30
Issue2
Pagination50-63
Date Published2010 Dec
ISSN0226-1766
Abstract

In order to understand the transmission of a disease across a population we will have to understand not only the dynamics of contact infection but the transfer of health-care beliefs and resulting health-care behaviors across that population. This paper is a first step in that direction, focusing on the contrasting role of linkage or isolation between sub-networks in (a) contact infection and (b) belief transfer. Using both analytical tools and agent-based simulations we show that it is the structure of a network that is primary for predicting contact infection-whether the networks or sub-networks at issue are distributed ring networks or total networks (hubs, wheels, small world, random, or scale-free for example). Measured in terms of time to total infection, degree of linkage between sub-networks plays a minor role. The case of belief is importantly different. Using a simplified model of belief reinforcement, and measuring belief transfer in terms of time to community consensus, we show that degree of linkage between sub-networks plays a major role in social communication of beliefs. Here, in contrast to the case of contract infection, network type turns out to be of relatively minor importance. What you believe travels differently. In a final section we show that the pattern of belief transfer exhibits a classic power law regardless of the type of network involved.

Alternate JournalConnect (Tor)
PubMed ID24409006
PubMed Central IDPMC3883135
Grant ListU54 GM088491 / GM / NIGMS NIH HHS / United States
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