USCCANA / netdiffuseR

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#'
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#' # Calculating the exposure based on Structural Equivalence ------------------
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#' set.seed(113132)
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#' graph <- rdiffnet(100, 10)
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#' graph <- rdiffnet(100, 4)
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#'
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#' SE <- lapply(struct_equiv(graph), "[[", "SE")
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#' SE <- lapply(SE, function(x) {
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#' # Structral equivalence for different communities ---------------------------
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#' data(medInnovationsDiffNet)
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#'
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#' # Only using 4 time slides, this is for convenience
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#' medInnovationsDiffNet <- medInnovationsDiffNet[, , 1:4]
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#'
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#' # METHOD 1: Using the c.diffnet method:
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#'
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#' # Creating subsets by city

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Files Coverage
R 83.70%
src 93.04%
Project Totals (37 files) 85.23%
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