inferCommunitiesASLP: Community detection, asynchronous label propagation
In sverchkov/CommunityInference: Community Inference for Weighted Graphs
Description
Usage
Arguments
Details
Value
Author(s)
Description
An implementation of community detection by label propagation in an undirected weighted graph based on
Raghavan, Albert, Kumara. Phys Rev E 76, 036106 (2007)
Usage
1
inferCommunitiesASLP(edges_df = NULL, adj_mat = NULL)
Arguments
unique_edges
a data frame with columns a, b, weight representing the connections between nodes.
We assume undirected graph, and therefore b < a.
Details
This is fully asynchronous – labels are updated one at a time in a random order.
Value
a list of two vectors,
node–node id (taken from a, b of input) and
label–unique cluster/community ID.
Author(s)
Yuriy Sverchkov
sverchkov/CommunityInference documentation built on May 7, 2019, 7:42 a.m.
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.
Description Usage Arguments Details Value Author(s)
Description
An implementation of community detection by label propagation in an undirected weighted graph based on Raghavan, Albert, Kumara. Phys Rev E 76, 036106 (2007)
Usage
1 | inferCommunitiesASLP(edges_df = NULL, adj_mat = NULL)
|
Arguments
unique_edges |
a data frame with columns a, b, weight representing the connections between nodes. We assume undirected graph, and therefore b < a. |
Details
This is fully asynchronous – labels are updated one at a time in a random order.
Value
a list of two vectors, node–node id (taken from a, b of input) and label–unique cluster/community ID.
Author(s)
Yuriy Sverchkov
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.