We show that precise knowledge of epidemic transmission parameters is not required to
build an informative model of the spread of disease. We propose a detailed model of the …

The scale-free (SF) property is a major concept in complex networks, and it is based on the
definition that an SF network has a degree distribution that follows a power-law (PL) pattern …

Link prediction is the problem of predicting the location of either unknown or fake links from
uncertain structural information of a network. Link prediction algorithms are useful in gaining …

The fitness model was introduced in the literature to expand the Barabasi-Albert model's
generative mechanism, which produces scale-free networks under the control of degree …

Complex networks in different areas exhibit degree distributions with a heavy upper tail. A
preferential attachment mechanism in a growth process produces a graph with this feature …

In this study, we examine the impact of information-driven awareness on the spread of an
epidemic from the perspective of resource allocation by comprehensively considering a …

Resource support between individuals is of particular importance in controlling or mitigating
epidemic spreading, especially during pandemics. However, there remains the question of …

We investigate the effects of self‐protection awareness on the spread of disease from the
aspect of resource allocation behavior in populations. To this end, a resource‐based …

The development of central and peripheral neural system depends in part on the emergence
of the correct functional connectivity in its input and output pathways. Now it is generally …

A first-order percolation transition, called explosive percolation, was recently discovered in
evolution networks with random edge selection under a certain restriction. For many real …