# modularity

0th

Percentile

##### Modularity of a community structure of a graph

This function calculates how modular is a given division of a graph into subgraphs.

Keywords
graphs
##### Usage
## S3 method for class 'igraph':
modularity(x, membership, weights = NULL, \dots)
##### Arguments
x
The input graph.
membership
Numeric vector, for each vertex it gives its community. The communities are numbered from one.
weights
If not NULL then a numeric vector giving edge weights.
...
##### Details

The modularity of a graph with respect to some division (or vertex types) measures how good the division is, or how separated are the different vertex types from each other. It defined as $$Q=\frac{1}{2m} \sum_{i,j} A_{ij}-\frac{k_ik_j}{2m}\delta(c_i,c_j),$$ here $m$ is the number of edges, $A_{ij}$ is the element of the $A$ adjacency matrix in row $i$ and column $j$, $k_i$ is the degree of $i$, $k_j$ is the degree of $j$, $c_i$ is the type (or component) of $i$, $c_j$ that of $j$, the sum goes over all $i$ and $j$ pairs of vertices, and $\delta(x,y)$ is 1 if $x=y$ and 0 otherwise.

If edge weights are given, then these are considered as the element of the $A$ adjacency matrix, and $k_i$ is the sum of weights of adjacent edges for vertex $i$.

##### Value

• A numeric scalar, the modularity score of the given configuration.

Modularity

##### References

MEJ Newman and M Girvan: Finding and evaluating community structure in networks. Physical Review E 69 026113, 2004.

walktrap.community, edge.betweenness.community, fastgreedy.community, spinglass.community for various community detection methods.

##### Aliases
• modularity
• modularity.igraph
##### Examples
g <- graph.full(5) %du% graph.full(5) %du% graph.full(5)
g <- add.edges(g, c(1,6, 1,11, 6, 11))
wtc <- walktrap.community(g)
modularity(wtc)
modularity(g, membership(wtc))
Documentation reproduced from package igraph, version 0.6.5-2, License: GPL (>= 2)

### Community examples

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