bipartite_graph_projection: Apply a bipartite graph projection
In sailuh/kaiaulu: Kaiaulu
bipartite_graph_projection R Documentation
Apply a bipartite graph projection
Description
Apply a bipartite graph projection
Usage
bipartite_graph_projection(graph, mode, weight_scheme_function = NULL)
Arguments
graph
A bipartite network (the same pair of nodes can *not* have multiple edges)
mode
Which of the two nodes the projection should be applied to. TRUE or FALSE
weight_scheme_function
When not specified, bipartite_graph_projection will return an intermediate
projection table specifying the deleted node, from_projection, to_projection, from_weight, and to_weight.
This table also contains (N choose 2) rows for every "deleted_node" in the original graph.
When receiving as parameter weight_scheme_sum_edges or
weight_scheme_count_deleted_nodes, the final projection table will be returned instead.
Value
A graph projection.
sailuh/kaiaulu documentation built on Dec. 10, 2024, 3:14 a.m.
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| bipartite_graph_projection | R Documentation |
Apply a bipartite graph projection
Description
Apply a bipartite graph projection
Usage
bipartite_graph_projection(graph, mode, weight_scheme_function = NULL)
Arguments
graph |
A bipartite network (the same pair of nodes can *not* have multiple edges) |
mode |
Which of the two nodes the projection should be applied to. TRUE or FALSE |
weight_scheme_function |
When not specified, bipartite_graph_projection will return an intermediate
projection table specifying the deleted node, from_projection, to_projection, from_weight, and to_weight.
This table also contains (N choose 2) rows for every "deleted_node" in the original graph.
When receiving as parameter |
Value
A graph projection.
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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