Modeling real-world signed networks is a challenging task due to the highly dynamic
microlevel growth processes involved in it. The network reconstruction is a problem in which …

Network modeling has been explored extensively by means of theoretical analysis as well
as numerical simulations for Network Reconstruction (NR). The network reconstruction …

We propose a parametric network generation model which we call network reconstruction
model (NRM) for structural reconstruction of scale-free real networks with power-law …

In order to study the influence of the preferential degree and the heterogeneity of underlying
networks on the spread of preferential e-commerce information, we propose a novel …

We propose modeling signed networks by considering two layers in a social network for
generation of positive and negative links where both the layers comprise of identical set of …

In this brief, a heterogeneous diffusion-based communication protocol is proposed to
achieve a significant improvement in the rate of convergence of the average consensus …

Complex systems have been successfully modeled as networks exhibiting the varying extent
of randomness and nonrandomness. Network scientists contemplate randomness as one of …

Preferential attachment, also referred to as the “rich-get-richer” mechanism, characterizes
the ability of already existing nodes in an evolutionary network to acquire new connections …

Network modeling is a challenging task due to non-trivial evolution dynamics. We introduce
multiple-selection-procedure with 'N'possible growth mechanisms (MSP-N). In MSP-N, an …

In this paper, we propose an evolving network model with information filtering and mixed
attachment mechanisms. We theoretically analyze the in-degree distribution of networks …