| netsDataFrame {neatmaps} | R Documentation |
Networks Data Frame
Description
netsDataFrame produces data frames of collections of networks.
Usage
netsDataFrame(net_attr_df, node_attr_df, edge_df,
cent_measure = c("mean"))
Arguments
net_attr_df |
A data frame consisting of all of the networks' graph attributes. The first column should contain the name of the network, and all other columns should be numeric. All empty entries should be filled as "NA". |
node_attr_df |
A data frame consisting of all of the networks' nodes' attributes. All columns should be numeric. All empty entries should be filled in as "NA". |
edge_df |
A data frame consisting of the edge matrix for each ego network. Edges are assumed to be undirected and unweighted. 1 indicates the existence of an edge between nodes, 0 indicates the lack of an edge. |
cent_measure |
A vector of the measures of centrality to be used for the summary of the node attributes data. The supported measures of centrality are: "mean" and "median". |
Details
The function produces data frames of collections of networks. The function requires the input of three data frames: a data frame containing the graph attributes, a data frame containing the node characteristics and a data frame containing the edge list of each network. The rows in each of these data frames must represent individual networks, and must therefore have identical row length. Measures of centrality used in the summarization of the node attributes must also be furnished.
Value
The function returns a data frame that offers an overview of all of the ego networks.
Author(s)
Philippe Boileau, philippe_boileau@berkeley.edu
Examples
df <- netsDataFrame(network_attr_df,
node_attr_df,
edge_df)