2018-12-20

- Added hex sticker
- Updated README with more detailed installation information
- Pkgdown exports to https://jhollway.bitbucket.io/roctopus/

- Added
`twomode_modularity()`

to calculate modularity in two-mode networks

- Added
`plot_multilevel()`

that rotates a force-directed`igraph`

plot in three dimensions to reveal multilevel structure - Added
`plot_globalnet()`

to map a multilevel network on to a javascript, rotatable global

2018-08-25

- Added
`twomode_smallworld()`

to calculate observed/expected clustering, observed/expected path-length, and the observed/expected clustering ratio - Added
`twomode_2x2()`

to identify dominance and coherence values for networks over time - Updated
`twomode_coherence()`

to allow for introduction of second-mode attributes - Renamed
`twomode_fragmentation()`

to`twomode_components()`

- Added
`plot_2x2()`

to plot values through a two-by-two matrix

2018-08-14

- Renamed package to
`roctopus`

- Added two-mode @family tag to documentation

- Added
`twomode_fragmentation()`

to calculate number of components in two-mode networks and identify their membership - Added
`twomode_dominance()`

to allow an nodal attribute to be passed to the function to weight the centralization measure - Added
`twomode_coherence()`

to calculate Jaccard similarity

- Added
`plot_twomode()`

, which wraps`plot(igraph::graph_from_incidence_matrix())`

with some useful defaults- coloured grayscale by default, with green/blue option
- shaped circles and squares by default

2018-07-30

- Initialised package
- Added
`README.md`

file with instructions on how to install package - Added
`LICENSE`

file and pointed to bug/issue tracker - Added a
`NEWS.md`

file to track changes to the package

- Added
`twomode_clustering()`

to calculate percentage of three-paths closed by four-paths - Added
`twomode_lattice()`

to create two-mode lattices - Added
`twomode_centralization_degree()`

to calculate degree centralization in two-mode networks, for rows, columns, or both - Added
`twomode_centralization_between()`

to calculate betweenness centralization in two-mode networks - Added
`twomode_constraint()`

to calculate network constraint in two-mode networks - Added
`arrange.vars()`

to rearrange variables by position