The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …

It is shown how to construct a clique graph in which properties of cliques of a fixed order in a
given graph are represented by vertices in a weighted graph. Various definitions and …

Advancements in systems biology have resulted in the development of network
pharmacology, leading to a paradigm shift from “one-target, one-drug” to “target-network …

Traditionally, research on graph theory focused on studying graphs that are static. However,
almost all real networks are dynamic in nature and large in size. Quite recently, research …

Background In recent years, an extensive characterization of network structures has been
made in an effort to elucidate design principles of metabolic networks, providing valuable …

One of the most well-known mechanisms contributing to the emergence of networks with a
power-law degree distribution is preferential attachment. In this study, we examined a family …

In order to describe the self-organization of communities in the evolution of weighted
networks, we propose a new evolving model for weighted community-structured networks …

We propose a growing network model that consists of two tunable mechanisms: growth by
merging modules which are represented as complete graphs and a fitness-driven …

We propose the n-clique network as a powerful tool for understanding global structures of
combined highly-interconnected subgraphs, and provide theoretical predictions for statistical …

In this paper, we present a simple evolution model of protein-protein interaction networks by
introducing a rule of small-preference duplication of a node, meaning that the probability of a …