Selected article for: "absolute number and Supporting Information"

Author: Luis, Angela D.; O'Shea, Thomas J.; Hayman, David T. S.; Wood, James L. N.; Cunningham, Andrew A.; Gilbert, Amy T.; Mills, James N.; Webb, Colleen T.
Title: Network analysis of host–virus communities in bats and rodents reveals determinants of cross-species transmission
  • Document date: 2015_8_24
  • ID: yqc8r3ll_11
    Snippet: To account for sampling bias, we additionally calculated the quantitative linkage densities and connectance for sampling effort-corrected networks. See Supporting Information for more details. As another test to account for bias, we calculated the quantitative connectance of the Jaccard matrices (the intersection divided by the union of the viruses for each pair of host species). This gives the proportion of the viruses shared rather than the abs.....
    Document: To account for sampling bias, we additionally calculated the quantitative linkage densities and connectance for sampling effort-corrected networks. See Supporting Information for more details. As another test to account for bias, we calculated the quantitative connectance of the Jaccard matrices (the intersection divided by the union of the viruses for each pair of host species). This gives the proportion of the viruses shared rather than the absolute number. The multiple regression on matrices and GLS analyses described below use the original networks (absolute number of viruses not weighted by sampling effort) because for those, we take sampling effort into account as a covariate.

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