title: Algebraic approach to small-world network models.
abstract: We introduce an analytic model for directed Watts-Strogatz small-world graphs and deduce an algebraic expression of its defining adjacency matrix. The latter is then used to calculate the small-world digraph's asymmetry index and clustering coefficient in an analytically exact fashion, valid nonasymptotically for all graph sizes. The proposed approach is general and can be applied to all algebraically well-defined graph-theoretical measures, thus allowing for an analytical investigation of finite-size small-world graphs.
authors.affiliation: Unité de Neurosciences, Information et Complexité, CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France.
authors.forename: Michelle
authors.initials: M
authors.lastname: Rudolph-Lilith
authors.affiliation: Unité de Neurosciences, Information et Complexité, CNRS, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France.
authors.forename: Lyle E
authors.initials: LE
authors.lastname: Muller