Description Usage Arguments Value Examples
View source: R/causal_emergence.R
Given a microscale network, G
, this function iteratively checks different
coarse-grainings to see if it finds one with higher effective information.
1 | causal_emergence(x, ...)
|
x |
igraph or matrix object. |
... |
Span, and threshold parameters |
A list with letters and numbers.
g_micro - Graph of original micro-scale network.
g_macro - Graph of macro-scale network.
mapping - list
mapping from micro to macro scales giving
the largest increase in effective information.
ei_macro - Effective information of macro scale network.
ei_micro - Effective information of micro scale network.
ce - Numerical value for causal emergence.
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