Discrete dynamical systems are used to model various realistic systems in network science, from social unrest in human populations to regulation in biological networks. A common approach is to model the agents of a system as vertices of a graph, and the pairwise interactions between agents as edges. Agents are in one of a finite set of states at each discrete time step and are assigned functions that describe how their states change based on neighborhood relations. Full characterization of state transitions of one system can give insights into fundamental behaviors of other dynamical systems. In this paper, we describe a discrete graph dynamical systems (GDSs) application called GDSCalc for computing and characterizing system dynamics. It i...
This study introduces a new metric called "DynamicScore" to evaluate the dynamics of graphs. It can ...
Yuasa proposes a method for modeling autonomous decentralized systems by reaction-diffusion equation...
INTRODUCTION Dynamic graph algorithms are algorithms that maintain properties of a (possibly edgewe...
Discrete dynamical systems are used to model various realistic systems in network science, from soci...
In discrete processes, as computational or genetic ones, there are many entities and each entity has...
Complex systems are collections of functionally highly interdependent elements. To analyze, control,...
We describe InterSim, a general purpose flexible framework for simulating graph dynamical systems (G...
With the rise of online social networks and other highly dynamic system, the need for the analysis o...
The analysis of dynamic systems provides insights into their time-dependent characteristics. This en...
The notion of complex systems is common to many domains, from Biology to Economy, Computer Science, ...
This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodol...
Online social networks pose particular challenges to designing effective algorithms and protocols. A...
This book provides an introduction to the analysis of discrete dynamical systems. The content is pre...
DDLab is interactive graphics software for creating, visualizing, and analyzing many aspects of Cell...
Using a graphical discrete dynamical system to model a networked social system, the problem of infer...
This study introduces a new metric called "DynamicScore" to evaluate the dynamics of graphs. It can ...
Yuasa proposes a method for modeling autonomous decentralized systems by reaction-diffusion equation...
INTRODUCTION Dynamic graph algorithms are algorithms that maintain properties of a (possibly edgewe...
Discrete dynamical systems are used to model various realistic systems in network science, from soci...
In discrete processes, as computational or genetic ones, there are many entities and each entity has...
Complex systems are collections of functionally highly interdependent elements. To analyze, control,...
We describe InterSim, a general purpose flexible framework for simulating graph dynamical systems (G...
With the rise of online social networks and other highly dynamic system, the need for the analysis o...
The analysis of dynamic systems provides insights into their time-dependent characteristics. This en...
The notion of complex systems is common to many domains, from Biology to Economy, Computer Science, ...
This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodol...
Online social networks pose particular challenges to designing effective algorithms and protocols. A...
This book provides an introduction to the analysis of discrete dynamical systems. The content is pre...
DDLab is interactive graphics software for creating, visualizing, and analyzing many aspects of Cell...
Using a graphical discrete dynamical system to model a networked social system, the problem of infer...
This study introduces a new metric called "DynamicScore" to evaluate the dynamics of graphs. It can ...
Yuasa proposes a method for modeling autonomous decentralized systems by reaction-diffusion equation...
INTRODUCTION Dynamic graph algorithms are algorithms that maintain properties of a (possibly edgewe...