Alignment of dynamic networks
Abstract
Network alignment (NA) aims to find a node mapping that conserves similar regions between compared networks. NA is applicable to many fields, including computational biology, where NA can guide the transfer of biological knowledge from well- to poorly-studied species across aligned network regions. Existing NA methods can only align static networks. However, most complex real-world systems evolve over time and should thus be modeled as dynamic networks. We hypothesize that aligning dynamic network representations of evolving systems will produce superior alignments compared to aligning the systems’ static network representations, as is currently done.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 12, 2017
- Source ID
- 10.1093/bioinformatics/btx246
Entities
People
- D Critchlow
- T Milenković
- V Vijayan
Organizations
- Air Force Office of Scientific Research
- Austin Peay State University
- National Science Foundation
- University of Notre Dame