reciprocity: Reciprocity of graphs

In igraph: Network Analysis and Visualization

Reciprocity of graphs

Description

Calculates the reciprocity of a directed graph.

Usage

reciprocity(graph, ignore.loops = TRUE, mode = c("default", "ratio"))

Arguments

graph	The graph object.
ignore.loops	Logical constant, whether to ignore loop edges.
mode	See below.

Details

The measure of reciprocity defines the proportion of mutual connections, in a directed graph. It is most commonly defined as the probability that the opposite counterpart of a directed edge is also included in the graph. Or in adjacency matrix notation: \sum_{ij} (A\cdot A')_{ij}, where A\cdot A' is the element-wise product of matrix A and its transpose. This measure is calculated if the mode argument is default.

Prior to igraph version 0.6, another measure was implemented, defined as the probability of mutual connection between a vertex pair, if we know that there is a (possibly non-mutual) connection between them. In other words, (unordered) vertex pairs are classified into three groups: (1) not-connected, (2) non-reciprocally connected, (3) reciprocally connected. The result is the size of group (3), divided by the sum of group sizes (2)+(3). This measure is calculated if mode is ratio.

Value

A numeric scalar between zero and one.

Author(s)

Tamas Nepusz [e-mail] and Gabor Csardi [e-mail]

See Also

Other structural.properties: bfs(), component_distribution(), connect(), constraint(), coreness(), degree(), dfs(), distance_table(), edge_density(), feedback_arc_set(), girth(), is_dag(), is_matching(), knn(), laplacian_matrix(), subcomponent(), subgraph(), topo_sort(), transitivity(), unfold_tree(), which_multiple(), which_mutual()

Examples

g <- sample_gnp(20, 5 / 20, directed = TRUE)
reciprocity(g)

igraph documentation built on Aug. 10, 2023, 9:08 a.m.