For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoret
In the past 15 years, statistical physics has been successful as a framework for modelling complex n...
The increasing power of computer technology does not dispense with the need to extract meaningful in...
This rigorous introduction to network science presents random graphs as models for real-world networ...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the unde...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science,...
This book is the culmination of three years of research effort on a multidisciplinary project in whi...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
A network is a mathematical object consisting of a set of points that are connected to each other in...
The scientific study of networks, including computer networks, social networks, and biological netwo...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
Simple network models that focus only on graph topology or, at best, basic interactions are often in...
This book bridges the gap between advances in the communities of computer science and physics--namel...
Filling a gap in literature, this self-contained book presents theoretical and application-oriented ...
From the spread of disease across a population to the dispersion of vehicular traffic in cities, man...
In the past 15 years, statistical physics has been successful as a framework for modelling complex n...
The increasing power of computer technology does not dispense with the need to extract meaningful in...
This rigorous introduction to network science presents random graphs as models for real-world networ...
Networks can provide a useful model and graphic image useful for the description of a wide variety o...
In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the unde...
Network science is a rapidly emerging field of study that encompasses mathematics, computer science,...
This book is the culmination of three years of research effort on a multidisciplinary project in whi...
Complex networks are large networks encountered in practice that seem to lack any apparent structure...
A network is a mathematical object consisting of a set of points that are connected to each other in...
The scientific study of networks, including computer networks, social networks, and biological netwo...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
Simple network models that focus only on graph topology or, at best, basic interactions are often in...
This book bridges the gap between advances in the communities of computer science and physics--namel...
Filling a gap in literature, this self-contained book presents theoretical and application-oriented ...
From the spread of disease across a population to the dispersion of vehicular traffic in cities, man...
In the past 15 years, statistical physics has been successful as a framework for modelling complex n...
The increasing power of computer technology does not dispense with the need to extract meaningful in...
This rigorous introduction to network science presents random graphs as models for real-world networ...