Bartlett, TE;
(2021)
Comodularity and detection of co-communities.
Physical Review E
, 104
(5)
, Article 054309. 10.1103/PhysRevE.104.054309.
Preview |
PDF
PhysRevE.104.054309.pdf - Published Version Download (5MB) | Preview |
Abstract
This paper introduces the notion of comodularity, to cocluster observations of bipartite networks into co-communities. The task of coclustering is to group together nodes of one type with nodes of another type, according to the interactions that are the most similar. The measure of comodularity is introduced to assess the strength of co-communities, as well as to arrange the representation of nodes and clusters for visualization, and to define an objective function for optimization. We demonstrate the usefulness of our proposed methodology on simulated data, and with examples from genomics and consumer-product reviews.
| Type: | Article |
|---|---|
| Title: | Comodularity and detection of co-communities |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1103/PhysRevE.104.054309 |
| Publisher version: | https://doi.org/10.1103/PhysRevE.104.054309 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10153075 |
Archive Staff Only
 |
View Item |
