title: Emergence of clustering: role of inhibition.
abstract: Though biological and artificial complex systems having inhibitory connections exhibit a high degree of clustering in their interaction pattern, the evolutionary origin of clustering in such systems remains a challenging problem. Using genetic algorithm we demonstrate that inhibition is required in the evolution of clique structure from primary random architecture, in which the fitness function is assigned based on the largest eigenvalue. Further, the distribution of triads over nodes of the network evolved from mixed connections reveals a negative correlation with its degree providing insight into origin of this trend observed in real networks.
authors.affiliation: Complex Systems Lab, School of Basic Sciences, Indian Institute of Technology Indore, M-Block, IET-DAVV Campus Khandwa Road, Indore-452017, India.
authors.forename: Sanjiv K
authors.initials: SK
authors.lastname: Dwivedi
authors.affiliation: Complex Systems Lab, School of Basic Sciences, Indian Institute of Technology Indore, M-Block, IET-DAVV Campus Khandwa Road, Indore-452017, India.
authors.forename: Sarika
authors.initials: S
authors.lastname: Jalan
mesh_terms: D000465:Algorithms; D008957:Models, Genetic