We love networks! Networks are powerful conceptual tools, encapsulating in a single item multiple affordances for computation (networks as graphs), visualization (networks as maps) and manipulation of data (networks as interfaces). In the field of mathematics, graph theory has been around since Euler’s walk on Königsberg’s bridges (Euler 1736). But it is not until the end of the last century that networks acquired a multidisciplinary popularity. Graph computation is certainly powerful, but it is also very demanding and for many years its advantages remained the privilege of scholars with solid mathematical fundamentals. In the last few decades, however, networks acquired a new set of affordances and reached a larger audience, thanks to the ...
In this class, we will discuss network theory fundamentals, including concepts such as diameter, dis...
The search for a possible design question, or generative research, is problematic. Generative resear...
Network science is driven by the question which properties large real-world networks have and how we...
In the last few years, a spirit has been haunting our academic and popular culture — the spirit of n...
No doubt, networks have become indispensable mathematical tools in many aspects of life in the twent...
For many centuries ideas now embodied in graph theory have been implicit in lay discussions of netwo...
Network data structures have been used extensively for modeling entities and their ties across such ...
Network science plays a central role in the study of complex systems, offering a range of computatio...
The scientific study of networks, including computer networks, social networks, and biological netwo...
A network graph describes the web of connections between entities in a system. Network graphs are a ...
NETWORKS are models that help us understanding and thinking about relationshipsbetween entities in t...
A network is a mathematical object consisting of a set of points (called vertices or nodes) that are...
This report documents the program and the outcomes of Dagstuhl Seminar 19061 "Visual Analytics of Mu...
Network data (also referred to as relational data, social network data, real graph data) has become ...
A network is a mathematical object consisting of a set of points that are connected to each other in...
In this class, we will discuss network theory fundamentals, including concepts such as diameter, dis...
The search for a possible design question, or generative research, is problematic. Generative resear...
Network science is driven by the question which properties large real-world networks have and how we...
In the last few years, a spirit has been haunting our academic and popular culture — the spirit of n...
No doubt, networks have become indispensable mathematical tools in many aspects of life in the twent...
For many centuries ideas now embodied in graph theory have been implicit in lay discussions of netwo...
Network data structures have been used extensively for modeling entities and their ties across such ...
Network science plays a central role in the study of complex systems, offering a range of computatio...
The scientific study of networks, including computer networks, social networks, and biological netwo...
A network graph describes the web of connections between entities in a system. Network graphs are a ...
NETWORKS are models that help us understanding and thinking about relationshipsbetween entities in t...
A network is a mathematical object consisting of a set of points (called vertices or nodes) that are...
This report documents the program and the outcomes of Dagstuhl Seminar 19061 "Visual Analytics of Mu...
Network data (also referred to as relational data, social network data, real graph data) has become ...
A network is a mathematical object consisting of a set of points that are connected to each other in...
In this class, we will discuss network theory fundamentals, including concepts such as diameter, dis...
The search for a possible design question, or generative research, is problematic. Generative resear...
Network science is driven by the question which properties large real-world networks have and how we...