We study the properties of quantities aimed at the characterization of grid-like ordering in complex networks. These quantities are based on the global and local behavior of cycles of order four, which are the minimal structures able to identify rectangular clustering. The analysis of data from real networks reveals the ubiquitous presence of a statistically high level of grid-like ordering that is non-trivially correlated with the local degree properties. These observations provide new insights on the hierarchical structure of complex networks.Postprint (author's final draft
Percolation theory can be used to describe the structural properties of complex networks using the g...
In multiplex networks, cycles cannot be characterized only by their length, as edges may occur in di...
This book deals with the analysis of the structure of complex networks by combining results from gra...
We study the properties of quantities aimed at the characterization of grid-like ordering in complex...
Abstract. We study the properties of quantities aimed at the characterization of grid-like ordering ...
We uncover the global organization of clustering in real complex networks. To this end, we ask wheth...
Complex networks display an organization of elements into nontrivial structures at versatile inheren...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
In this paper, a partial-order relation is defined among vertices of a network to describe which ver...
We propose a cyclic coefficient $R$ which represents the cyclic characteristics of complex networks....
We propose the n-clique network as a powerful tool for understanding global struc- tures of combined...
In the last few years the research on networks has taken different directions producing rather unexp...
<p>We show the order (), average degree (), and global reaching centrality for the original () and f...
In this paper, we investigate the effect of local structures on network processes. We investigate a ...
Complexity is highly susceptible to variations in the network dynamics, reflected on its underlying ...
Percolation theory can be used to describe the structural properties of complex networks using the g...
In multiplex networks, cycles cannot be characterized only by their length, as edges may occur in di...
This book deals with the analysis of the structure of complex networks by combining results from gra...
We study the properties of quantities aimed at the characterization of grid-like ordering in complex...
Abstract. We study the properties of quantities aimed at the characterization of grid-like ordering ...
We uncover the global organization of clustering in real complex networks. To this end, we ask wheth...
Complex networks display an organization of elements into nontrivial structures at versatile inheren...
We develop a full theoretical approach to clustering in complex networks. A key concept is introduce...
In this paper, a partial-order relation is defined among vertices of a network to describe which ver...
We propose a cyclic coefficient $R$ which represents the cyclic characteristics of complex networks....
We propose the n-clique network as a powerful tool for understanding global struc- tures of combined...
In the last few years the research on networks has taken different directions producing rather unexp...
<p>We show the order (), average degree (), and global reaching centrality for the original () and f...
In this paper, we investigate the effect of local structures on network processes. We investigate a ...
Complexity is highly susceptible to variations in the network dynamics, reflected on its underlying ...
Percolation theory can be used to describe the structural properties of complex networks using the g...
In multiplex networks, cycles cannot be characterized only by their length, as edges may occur in di...
This book deals with the analysis of the structure of complex networks by combining results from gra...