TY - JOUR
T1 - Scale effects on spatially embedded contact networks
AU - Gao, Peng
AU - Bian, Ling
N1 - Funding Information:
Research reported in this publication was supported in part by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R01GM108731 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health . The authors are grateful to the three anonymous reviewers and Editor Professor Yu Liu, whose valuable comments and suggestions helped improve the quality of the paper.
Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Spatial phenomena are subject to scale effects, but there are rarely studies addressing such effects on spatially embedded contact networks. There are two types of structure in these networks, network structure and spatial structure. The network structure has been actively studied. The spatial structure of these networks has received attention only in recent years. Certainly little is known whether the two structures respond to each other.This study examines the scale effects, in terms of spatial extent, on the network structure and the spatial structure of spatially embedded contact networks. Two issues are explored, how the two types of structures change in response to scale changes, and the range of the scale effects. Two sets of areal units, regular grids with 24 different levels of spatial extent and census units of three levels of spatial extent, are used to divide one observed and two reference random networks into multiple scales. Six metrics are used to represent the two structures.Results show different scale effects. In terms of the network structure, the properties of the observed network are sensitive to scale changes at fine scales. In comparison, the clustered spatial structure of the network is scale independent. The behaviors of the network structure are affected by the spatial structure. This information helps identify vulnerable households and communities to health risks and helps deploy intervention strategies to spatially targeted areas.
AB - Spatial phenomena are subject to scale effects, but there are rarely studies addressing such effects on spatially embedded contact networks. There are two types of structure in these networks, network structure and spatial structure. The network structure has been actively studied. The spatial structure of these networks has received attention only in recent years. Certainly little is known whether the two structures respond to each other.This study examines the scale effects, in terms of spatial extent, on the network structure and the spatial structure of spatially embedded contact networks. Two issues are explored, how the two types of structures change in response to scale changes, and the range of the scale effects. Two sets of areal units, regular grids with 24 different levels of spatial extent and census units of three levels of spatial extent, are used to divide one observed and two reference random networks into multiple scales. Six metrics are used to represent the two structures.Results show different scale effects. In terms of the network structure, the properties of the observed network are sensitive to scale changes at fine scales. In comparison, the clustered spatial structure of the network is scale independent. The behaviors of the network structure are affected by the spatial structure. This information helps identify vulnerable households and communities to health risks and helps deploy intervention strategies to spatially targeted areas.
KW - Scale effect
KW - Spatially embedded networks
UR - http://www.scopus.com/inward/record.url?scp=84975523515&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84975523515&partnerID=8YFLogxK
U2 - 10.1016/j.compenvurbsys.2016.06.002
DO - 10.1016/j.compenvurbsys.2016.06.002
M3 - Article
AN - SCOPUS:84975523515
SN - 0198-9715
VL - 59
SP - 142
EP - 151
JO - Computers, Environment and Urban Systems
JF - Computers, Environment and Urban Systems
ER -