This work is a modeling of evolutionary networks embedded in one or two dimensional configuration space. The evolution is based on two attachments depending on degree and spatial distance. The probability for a new node n to connect with a previous node i at distance rni follows...

In this paper, we propose a novel Euclidean distance preferred model yielding small-world networks in the Euclidean space, on which the epidemics dynamics is investigated. A novel local region immunization strategy is proposed to suppress the epidemic prevalence on the Euclidean small-world...