2021
DOI: 10.1002/asi.24456
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An application of media and network multiplexity theory to the structure and perceptions of information environments in hurricane evacuation

Abstract: Understanding how information use contributes to uncertainties surrounding evacuation decisions is crucial during disasters. While literature increasingly establishes that people consult multiple information sources in disaster situations, little is known about the patterns in which multiple media and personal network sources are combined simultaneously and sequentially across decision‐making phases. We address this gap using survey data collected from households in Jacksonville, Florida affected by 2016's Hur… Show more

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Cited by 10 publications
(2 citation statements)
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“…We chose to include betweenness centrality as it is conceptually more interesting than degree centrality as it defines which facilitators hold the key positions in the network instead of just giving the number of facilitators a facilitator is connected to. 18 Blau's measure of heterogeneity is a common measure of diversity and is calculated as 1 − ∑ p 2 i , where p i is the proportion of particular groups or categories in one's network (Lee et al 2021). 19 If a facilitator collaborates with just one other facilitator ego network heterogeneity is always 0, because there is no variety possible in that situation.…”
Section: Network Position and Business-like Behaviormentioning
confidence: 99%
“…We chose to include betweenness centrality as it is conceptually more interesting than degree centrality as it defines which facilitators hold the key positions in the network instead of just giving the number of facilitators a facilitator is connected to. 18 Blau's measure of heterogeneity is a common measure of diversity and is calculated as 1 − ∑ p 2 i , where p i is the proportion of particular groups or categories in one's network (Lee et al 2021). 19 If a facilitator collaborates with just one other facilitator ego network heterogeneity is always 0, because there is no variety possible in that situation.…”
Section: Network Position and Business-like Behaviormentioning
confidence: 99%
“… How does personal network structure influence disaster risk perception (see, for example, Jones et al, 2013)? What sources of information are consulted during evacuation decision‐making (see, for example, Lee et al, 2021)? How does social network size and composition influence social support in disaster recovery? And how are vulnerability conditions associated with individuals' and households' access to social support (see, for example, Sadri, Ukkusuri, and Gladwin, 2017; Bright et al, 2019; Lee et al, 2020)?…”
Section: Social Network Analysis In Disaster Researchmentioning
confidence: 99%