ExplodeLayout: Calculate Exploded Coordinates Based on Original Node Coordinates and Node Clustering Membership

Current layout algorithms such as Kamada Kawai do not take into consideration disjoint clusters in a network, often resulting in a high overlap among the clusters, resulting in a visual “hairball” that often is uninterpretable. The ExplodeLayout algorithm takes as input (1) an edge list of a unipartite or bipartite network, (2) node layout coordinates (x, y) generated by a layout algorithm such as Kamada Kawai, (3) node cluster membership generated from a clustering algorithm such as modularity maximization, and (4) a radius to enable the node clusters to be “exploded” to reduce their overlap. The algorithm uses these inputs to generate new layout coordinates of the nodes which “explodes” the clusters apart, such that the edge lengths within the clusters are preserved, while the edge lengths between clusters are recalculated. The modified network layout with nodes and edges are displayed in two dimensions. The user can experiment with different explode radii to generate a layout which has sufficient separation of clusters, while reducing the overall layout size of the network. This package is a basic version of an earlier version called [epl]<https://github.com/UTMB-DIVA-Lab/epl> that searched for an optimal explode radius, and offered multiple ways to separate clusters in a network (Bhavnani et al(2017) <PMID: 28815099>). The example dataset is for a bipartite network, but the algorithm can work also for unipartite networks.

Getting started

Package details

AuthorSuresh K. Bhavnani [aut], Weibin Zhang [cre, aut]
MaintainerWeibin Zhang <weibzhan@utmb.edu>
LicenseMIT + file LICENSE
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ExplodeLayout")

Try the ExplodeLayout package in your browser

Any scripts or data that you put into this service are public.

ExplodeLayout documentation built on July 1, 2022, 9:06 a.m.