Add to ORKGEach node is connected to a certain average number of random other nodes. When one looks at a large number of the graphs that are formed, some definite qualitative and quantitative regularities emergeComponente Curricular::Ensino Médio::Matemátic
Educação Superior::Ciências Exatas e da Terra::MatemáticaEnsino Médio::MatemáticaThe graph for a per...
This rigorous introduction to network science presents random graphs as models for real-world networ...
These lecture notes are intended to be used for master courses, where the students have a limited pr...
In this Bachelor degree thesis, we study random graphs. We focus on two of the most common models of...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
The theory of random graphs has been mainly concerned with structural properties, in particular the ...
This book supports researchers who need to generate random networks, or who are interested in the th...
In the master's thesis, we discuss various topics from the theory of random graphs. Random graphs ca...
We give an example of a student project that experimentally explores a topic in random graph theory....
Random graph generation is the foundation of the statistical study of complex networks, which are co...
This dataset consists of 25-45 node graphs generated via ER [1] with uniformly randomly scattered no...
Dizemos que um grafo e conectado se existe um caminho de arestas entre quaisquer par de vértices. O ...
In this work we determine the expected number of vertices of degree k = k(n) in a graph with n verti...
We have generated sets of the problem instances obtained by using different pseudo-random methods to...
<p>Graphs are sampled from the well-known Erdős-Rënyi random graphs distribution. The sample consist...
Educação Superior::Ciências Exatas e da Terra::MatemáticaEnsino Médio::MatemáticaThe graph for a per...
This rigorous introduction to network science presents random graphs as models for real-world networ...
These lecture notes are intended to be used for master courses, where the students have a limited pr...
In this Bachelor degree thesis, we study random graphs. We focus on two of the most common models of...
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
The theory of random graphs has been mainly concerned with structural properties, in particular the ...
This book supports researchers who need to generate random networks, or who are interested in the th...
In the master's thesis, we discuss various topics from the theory of random graphs. Random graphs ca...
We give an example of a student project that experimentally explores a topic in random graph theory....
Random graph generation is the foundation of the statistical study of complex networks, which are co...
This dataset consists of 25-45 node graphs generated via ER [1] with uniformly randomly scattered no...
Dizemos que um grafo e conectado se existe um caminho de arestas entre quaisquer par de vértices. O ...
In this work we determine the expected number of vertices of degree k = k(n) in a graph with n verti...
We have generated sets of the problem instances obtained by using different pseudo-random methods to...
<p>Graphs are sampled from the well-known Erdős-Rënyi random graphs distribution. The sample consist...
Educação Superior::Ciências Exatas e da Terra::MatemáticaEnsino Médio::MatemáticaThe graph for a per...
This rigorous introduction to network science presents random graphs as models for real-world networ...
These lecture notes are intended to be used for master courses, where the students have a limited pr...