affiliationInfluence: Calculate the influence of affiliations within a hypergraph
In O1sims/networkR: A package for analysing social and economic networks
Description
Usage
Arguments
Examples
Description
The function calculates the influence of nodes and affiliations within a hypergraph. The measure accepts weights, or values, distributed over affiliations.
Usage
1
affiliationInfluence(edgeList, affiliationList, weights, normalise)
Arguments
edgeList
A dataframe of network data where nodes are in the first column and affiliations are in the second column. Nodes are members of the affiliation that they are next to.
affiliationList
A dataframe where all affiliations and their respective names are listed.
normalise
Should the influence score be normalised? TRUE or FALSE.
weight
The weight or value of an affiliation.
Examples
1
O1sims/networkR documentation built on May 31, 2019, 6:13 p.m.
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Description Usage Arguments Examples
Description
The function calculates the influence of nodes and affiliations within a hypergraph. The measure accepts weights, or values, distributed over affiliations.
Usage
1 | affiliationInfluence(edgeList, affiliationList, weights, normalise)
|
Arguments
edgeList |
A dataframe of network data where nodes are in the first column and affiliations are in the second column. Nodes are members of the affiliation that they are next to. |
affiliationList |
A dataframe where all affiliations and their respective names are listed. |
normalise |
Should the influence score be normalised? TRUE or FALSE. |
weight |
The weight or value of an affiliation. |
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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