The weighted distributions are widely used in many fields such as medicine, ecology and
reliability, to name a few, for the development of proper statistical models. Weighted …

The key goal in optical network design is to introduce intelligence in the network and deliver
capacity when and where it is needed. It is critical to understand the dependencies between …

Topology Bench is a comprehensive topology dataset designed to accelerate benchmarking
studies in optical networks. The dataset, focusing on core optical networks, comprises …

In the Internet, ASs are interconnected using BGP. However, due to a lack of security
considerations in the design of BGP, a series of security issues arise during the propagation …

Existing models for Internet Autonomous System (AS) topology generation make structural
assumptions about the AS graph. Those assumptions typically stem from beliefs about the …

In this paper we study the structural evolution of the AS topology as inferred from two
different datasets over a period of seven years. We use a variety of topological metrics to …

Length-Biased distributions are a special case of the more general form known as weighted
distributions. We can exploit the conceptuality of Length-Biased distribution in the …

Abstract: The present study deals with the weighted version of power Garima distribution
and its various statistical properties have been obtained. For estimating its parameters, the …

Graphs have acute significance because of polytropic nature and have wide spread real
world big data applications, eg, search engines, social media, knowledge discovery …

Spectral graph theory provides an algebraic approach to investigate the characteristics of
weighted networks using the eigenvalues and eigenvectors of a matrix (eg, normalized …