Add to ORKGThis thesis consits of a literature study and an investigation of a new problem. This new problem involves a generalization of the (random graph) configuration model, the so-called alternative model.Probability theoryApplied mathematicsElectrical Engineering, Mathematics and Computer Scienc
There are two aspects of randomness in topological models. In the first one, topological idealizatio...
Abstract: Random graphs have the property that they are very predictable. Even by exploring a small ...
In this book, we study random graphs as models for real-world networks. Since 1999, many real-world ...
A fundamental issue of network data science is the ability to discern observed features that can be ...
Abstract A fundamental issue of network data science is the ability to discern observed features tha...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
This book supports researchers who need to generate random networks, or who are interested in the th...
\u3cp\u3eDue to its ease of use, as well as its enormous flexibility in its degree structure, the co...
In this Bachelor degree thesis, we study random graphs. We focus on two of the most common models of...
The theory of random graphs has been mainly concerned with structural properties, in particular the ...
Printed on archival quality paper. Random graph processes are most often used to investigate theoret...
There are two aspects of randomness in topological models. In the first one, topological idealizatio...
Abstract: Random graphs have the property that they are very predictable. Even by exploring a small ...
In this book, we study random graphs as models for real-world networks. Since 1999, many real-world ...
A fundamental issue of network data science is the ability to discern observed features that can be ...
Abstract A fundamental issue of network data science is the ability to discern observed features tha...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
Due to its ease of use, as well as its enormous flexibility in its degree structure, the configurati...
This book supports researchers who need to generate random networks, or who are interested in the th...
\u3cp\u3eDue to its ease of use, as well as its enormous flexibility in its degree structure, the co...
In this Bachelor degree thesis, we study random graphs. We focus on two of the most common models of...
The theory of random graphs has been mainly concerned with structural properties, in particular the ...
Printed on archival quality paper. Random graph processes are most often used to investigate theoret...
There are two aspects of randomness in topological models. In the first one, topological idealizatio...
Abstract: Random graphs have the property that they are very predictable. Even by exploring a small ...
In this book, we study random graphs as models for real-world networks. Since 1999, many real-world ...