Network science has attracted much attention in recent years due to its interdisciplinary applications. We witnessed the revolution of network science in 1998 and 1999 started with small-world and scale-free networks having now thousands of high-profile publications, and it seems that since 2010 studies of ‘network of networks ’ (NON), sometimes called multilayer networks or multiplex, have attracted more and more attention.The analytic framework for NON yields a novel percolation law for n interdependent networks that shows that percolation theory of single networks studied extensively in physics and mathematics in the last 50 years is a specific limit of the rich and very different general case of n coupled networks. Since then, propertie...
Network Science is the emerging field concerned with the study of large, realistic networks. This in...
A framework for the description and analysis of multilayer networks is established in statistical ph...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
There is a wide range of systems in the real world where components cannot function independently, s...
Many complex systems in the real world can be modeled as complex networks, which has captured in rec...
International audienceAlthough networks provide a powerful approach to study a large variety of ecol...
Multilayer networks have in recent years emerged as an important new paradigm of network science. Gr...
In most natural and engineered systems, a set of entities interact with each other in complicated pa...
This volume provides an introduction to and overview of the emerging field of interconnected network...
Multiplex and Multilayer Networks is a collection of some of the results obtained in the new field o...
What do societies, the Internet, and the human brain have in common? They are all examples of comple...
In the past years, network theory has successfully characterized the interaction among the constitue...
Network science has provided a set of powerful theoretical results for the description of critical ...
Network science plays a central role in the study of complex systems, offering a range of computatio...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
Network Science is the emerging field concerned with the study of large, realistic networks. This in...
A framework for the description and analysis of multilayer networks is established in statistical ph...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
There is a wide range of systems in the real world where components cannot function independently, s...
Many complex systems in the real world can be modeled as complex networks, which has captured in rec...
International audienceAlthough networks provide a powerful approach to study a large variety of ecol...
Multilayer networks have in recent years emerged as an important new paradigm of network science. Gr...
In most natural and engineered systems, a set of entities interact with each other in complicated pa...
This volume provides an introduction to and overview of the emerging field of interconnected network...
Multiplex and Multilayer Networks is a collection of some of the results obtained in the new field o...
What do societies, the Internet, and the human brain have in common? They are all examples of comple...
In the past years, network theory has successfully characterized the interaction among the constitue...
Network science has provided a set of powerful theoretical results for the description of critical ...
Network science plays a central role in the study of complex systems, offering a range of computatio...
Complex interacting networks are observed in systems from such diverse areas as physics, biology, ec...
Network Science is the emerging field concerned with the study of large, realistic networks. This in...
A framework for the description and analysis of multilayer networks is established in statistical ph...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...