In this paper, I focused particular attention on the relationship between the structure and dynamics of complex networks. I am convinced of importance of measuring the structural properties of evolving networks in order to characterize how the connectivity of the investigating structures changes in time. Network measurement are therefore essential in my investigation. I intend to test how the non-stability of structure properties can be viewed as a factor that show abnormal state of the system (e.g. increasing of terrorism activity) modeled by complex networks. Complex networks are commonly modeled by means of simply or directed graphs. In some cases the use of graph to represent complex networks does not provide a complete description of t...
Key Words: complex networks; betweeness; robustness; efficiency; network’s vulnerability. The main t...
Examining important results and analytical techniques, this graduate-level textbook is a step-by-ste...
Complex systems are systems with many interacting components that give rise to their rich dynamical ...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
In late 1950s, two mathematicians discovered a network with complex topology by random graph theory....
A complex system is a system for which the statement "the whole is greater than the sum of its parts...
A complex system is a system for which the statement "the whole is greater than the sum of its parts...
Complex networks describe a wide range of systems and structures in the world. Any real network can ...
Recent approaches on the study of networks have exploded over almost all the sciences across the aca...
When dealing with evolving or multidimensional complex systems, network theory provides us with eleg...
As new technologies continue to find their way into everyday life, the world becomes more and more c...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...
Abstract—a class of models is examined whose primary goal is to explain network properties, especial...
In this review paper, we give a brief introduction to the complex network theory, where we explain t...
Key Words: complex networks; betweeness; robustness; efficiency; network’s vulnerability. The main t...
Examining important results and analytical techniques, this graduate-level textbook is a step-by-ste...
Complex systems are systems with many interacting components that give rise to their rich dynamical ...
We briefly describe the toolkit used for studying complex systems: nonlinear dynamics, statistical p...
In late 1950s, two mathematicians discovered a network with complex topology by random graph theory....
A complex system is a system for which the statement "the whole is greater than the sum of its parts...
A complex system is a system for which the statement "the whole is greater than the sum of its parts...
Complex networks describe a wide range of systems and structures in the world. Any real network can ...
Recent approaches on the study of networks have exploded over almost all the sciences across the aca...
When dealing with evolving or multidimensional complex systems, network theory provides us with eleg...
As new technologies continue to find their way into everyday life, the world becomes more and more c...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...
In this dissertation, we present a study of complex systems with underlying network topology. Comple...
Abstract—a class of models is examined whose primary goal is to explain network properties, especial...
In this review paper, we give a brief introduction to the complex network theory, where we explain t...
Key Words: complex networks; betweeness; robustness; efficiency; network’s vulnerability. The main t...
Examining important results and analytical techniques, this graduate-level textbook is a step-by-ste...
Complex systems are systems with many interacting components that give rise to their rich dynamical ...