Representations of large networks and applications in chemistry, bioinformatics and social networks
Large networks have several millions of vertices, are usually sparse and their use imposes certain technological limits (a need to store them completely in the computer memory). Special attention will be given to large acyclic (LAN) andtwo-mode (2MN) networks (visualization of LANs by identification of substructures). Project results will be applied in on chemical graphs, data in bioinformatics and social networks appearing in e-learning environments.
Involved: Batagelj, Klobučar, Stadler, Fowler