Abstract. We propose an evolutionary weighted model for technological networks based on the interplay of traffic and infrastructure of the network by introducing a strength cou-pling mechanism. The model gives many statical properties such as evolution of strength, distribution of strength, degree and weight supported by empirical evidence. In particular, the model generates nontrivial degree-strength correlation observed in real-world networks. Interestingly, all properties are adjusted depending on a single parameter that represents the speed of total weight growth of the network
We introduce a new framework for the analysis of the dynamics of networks, based on randomly reinfor...
In this paper, we present a local-world evolving model to characterize weighted networks. By introdu...
It is generally thought that the World Wide Web belongs to the class of complex networks that is sca...
In this paper, a simple model for the strength dynamics of weighted evolving networks is proposed to...
We present a general model for the growth of weighted networks in which the structural growth is cou...
We review the main tools which allow for the statistical characterization of weighted networks. We t...
Proceedings of the conference \"Complex networks: structure, function and processes\", Kolkata (Sate...
This paper proposes a weighted clique evolution model based on clique (maximal complete subgraph) gr...
Many complex networks in practice can be described by weighted network models, and the BBV model is ...
A model for the growth of weighted networks is proposed. The model is based on the edge preferential...
Real-world networks process structured connections since they have non-trivial vertex degree correla...
We model the evolution of the Internet at the autonomous system level as a process of competition fo...
We analyze weighted networks as randomly reinforced urn processes, in which the edge-total weights a...
In this paper, the dynamical behaviors of a class of weighted local-world evolving networks with agi...
Weighted scale-free networks exhibit two types of degree-strength relationship: linear and nonlinear...
We introduce a new framework for the analysis of the dynamics of networks, based on randomly reinfor...
In this paper, we present a local-world evolving model to characterize weighted networks. By introdu...
It is generally thought that the World Wide Web belongs to the class of complex networks that is sca...
In this paper, a simple model for the strength dynamics of weighted evolving networks is proposed to...
We present a general model for the growth of weighted networks in which the structural growth is cou...
We review the main tools which allow for the statistical characterization of weighted networks. We t...
Proceedings of the conference \"Complex networks: structure, function and processes\", Kolkata (Sate...
This paper proposes a weighted clique evolution model based on clique (maximal complete subgraph) gr...
Many complex networks in practice can be described by weighted network models, and the BBV model is ...
A model for the growth of weighted networks is proposed. The model is based on the edge preferential...
Real-world networks process structured connections since they have non-trivial vertex degree correla...
We model the evolution of the Internet at the autonomous system level as a process of competition fo...
We analyze weighted networks as randomly reinforced urn processes, in which the edge-total weights a...
In this paper, the dynamical behaviors of a class of weighted local-world evolving networks with agi...
Weighted scale-free networks exhibit two types of degree-strength relationship: linear and nonlinear...
We introduce a new framework for the analysis of the dynamics of networks, based on randomly reinfor...
In this paper, we present a local-world evolving model to characterize weighted networks. By introdu...
It is generally thought that the World Wide Web belongs to the class of complex networks that is sca...