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c97sr/id_spatial_sim: To support Haw et al, PNAS 2020

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Aug 2020Publisher:Zenodo
Authors: c97sr; kkokwok; dhaw; jvocaturo; Erik Volz; CD-DJ; jk1015;
Code repository: https://github.com/c97sr/id_spatial_sim/tree/pnas_spatial_networks

doi: 10.5281/zenodo.3732764 , 10.5281/zenodo.3999974

c97sr/id_spatial_sim: To support Haw et al, PNAS 2020

Abstract

To reproduce results for Strong spatial embedding of social networks generates non-standard epidemic dynamics independent of degree distribution and clustering PNAS 2020 David J. Haw, Rachael Pung, Jonathan M. Read, Steven Riley Please also contact David Haw on djhaw@live.co.uk or Steven Riley on sr@stevenriley.net to check if there is an updated version of these scripts merged into more recent versions of the network generation code. .Rdata files contain all networks used for the study. These can be generated in the scenarios/ebola directory, but are provided here for convenience. The README.md in the root directory explains how to use the R and matlab code.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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