Reference

Base.map — Method
map(fun, bm::Blockmodel)

Map function fun over the blocks of the Blockmodel bm and return a k by k matrix, where k is the number of groups constituting the blockmodel.

Example

using Graphs, BlockmodelUtils

g = erdos_renyi(20, 0.1)
gs = rand(['a', 'b'], 20)
bm = blockmodel(g, gs)

map(sum, bm) # number of edges in each block
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BlockmodelUtils.blockmodel — Method
blockmodel(g, groups; by=identity)

Create a Blockmodel from Graphs.AbstractGraph g and vector of group memberships groups. The function passed to by used to order the groups in the blockmodel.

Example

using Graphs, BlockmodelUtils

g = erdos_renyi(20, 0.1)
gs = rand(['a', 'b'], 20)
bm = blockmodel(g, gs)
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BlockmodelUtils.densityplot — Function
densityplot!(ax, bm)
densityplot(bm)

Plot the block density matrix as a heatmap.

Attributes

  • xticklabels = bm.labels
  • yticklabels = bm.labels
  • rotate_xlabels = false
  • kwargs... are passed to Makie.heatmap
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BlockmodelUtils.densityplot! — Function
densityplot!(ax, bm)
densityplot(bm)

Plot the block density matrix as a heatmap.

Attributes

  • xticklabels = bm.labels
  • yticklabels = bm.labels
  • rotate_xlabels = false
  • kwargs... are passed to Makie.heatmap
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BlockmodelUtils.ei_index — Method
ei_index(g, groups; level=:graph, mode=:both)

Compute Krackhardt's EI-index (Krackhardt & Stern 1988) for graph g and vector of group affiliations groups, defined as (E - I) / (E + I) for external (between group) edges E and internal (withing group) edges I.

Specify the level at wich to compute the index by setting the respective keyword to graph, group, or node. For directed g, specify the mode as both, in, or out. For level=graph, the three modes will be the same.

Example

using Graphs, BlockmodelUtils

g = erdos_renyi(20, 0.1);
gs = rand('a':'c', 20);
ei_index(g, gs; level=:group)
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BlockmodelUtils.flowerplot — Function
flowerplot!(ax, bm)
flowerplot(bm)

Plot the network with nodes positioned in circles according to the blockmodel groups. The first group is placed in the center.

Attributes

  • edgecolor = :grey70
  • edgewidth = 1
  • nodecolor = :black
  • showlabels = true
  • radii = fill(1, length(bm.labels))
  • args... further arguments are passed to Makie.scatter
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BlockmodelUtils.flowerplot! — Function
flowerplot!(ax, bm)
flowerplot(bm)

Plot the network with nodes positioned in circles according to the blockmodel groups. The first group is placed in the center.

Attributes

  • edgecolor = :grey70
  • edgewidth = 1
  • nodecolor = :black
  • showlabels = true
  • radii = fill(1, length(bm.labels))
  • args... further arguments are passed to Makie.scatter
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BlockmodelUtils.permuteplot — Function
permuteplot!(ax, bm)
permuteplot(bm)

Plot the permuted adjacency matrix with a grid outlining the blockmodel blocks.

Attributes

  • cellcolor = :black
  • linecolor = :black
  • framecolor = linecolor
  • rotate_xlabels = fale
  • xticklabels = bm.labels
  • yticklabels = bm.labels
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BlockmodelUtils.permuteplot! — Function
permuteplot!(ax, bm)
permuteplot(bm)

Plot the permuted adjacency matrix with a grid outlining the blockmodel blocks.

Attributes

  • cellcolor = :black
  • linecolor = :black
  • framecolor = linecolor
  • rotate_xlabels = fale
  • xticklabels = bm.labels
  • yticklabels = bm.labels
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Graphs.density — Method
density(bm::Blockmodel)

Compute the blockdensity matrix for Blockmodel bm. For diagonal blocks, the diagonal is subtracted from the number of possible edges.

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