Add to ORKGAbstract. We study the limit theory of large threshold graphs and apply this to a variety of models for random threshold graphs. The results give a nice set of examples for the emerging theory of graph limits. 1
This paper provides an overview of results, concerning longest or heaviest paths, in the area of ran...
Over the last few years a wide array of random graph models have been postulated to understand prope...
We consider an evolving preferential attachment random graph model where at discrete times a new nod...
Recently, it became apparent that a large number of the most interesting structures and phenomena of...
In the 1950s, random graphs appeared for the first time in a result of the prolific hungarian mathem...
We analyse the threshold network model in which a pair of vertices with random weights are connected...
We analyse the threshold network model in which a pair of vertices with random weights are connected...
In the 1950s, random graphs appeared for the first time in a result of the prolific hungarian mathem...
Abstract: Our main goal with this dissertation is to create a solid base on balanced and unbalanced ...
Abstract: Our main goal with this dissertation is to create a solid base on balanced and unbalanced ...
Abstract: Our main goal with this dissertation is to create a solid base on balanced and unbalanced ...
We propose a random graph model which is a special case of sparse random graphs with given degree se...
Abstract. We introduce and develop a theory of limits for sequences of sparse graphs based on Lp gra...
We introduce and develop a theory of limits for sequences of sparsegraphs based on Lp graphons, whic...
Abstract. We introduce and develop a theory of limits for sequences of sparse graphs based on Lp gra...
This paper provides an overview of results, concerning longest or heaviest paths, in the area of ran...
Over the last few years a wide array of random graph models have been postulated to understand prope...
We consider an evolving preferential attachment random graph model where at discrete times a new nod...
Recently, it became apparent that a large number of the most interesting structures and phenomena of...
In the 1950s, random graphs appeared for the first time in a result of the prolific hungarian mathem...
We analyse the threshold network model in which a pair of vertices with random weights are connected...
We analyse the threshold network model in which a pair of vertices with random weights are connected...
In the 1950s, random graphs appeared for the first time in a result of the prolific hungarian mathem...
Abstract: Our main goal with this dissertation is to create a solid base on balanced and unbalanced ...
Abstract: Our main goal with this dissertation is to create a solid base on balanced and unbalanced ...
Abstract: Our main goal with this dissertation is to create a solid base on balanced and unbalanced ...
We propose a random graph model which is a special case of sparse random graphs with given degree se...
Abstract. We introduce and develop a theory of limits for sequences of sparse graphs based on Lp gra...
We introduce and develop a theory of limits for sequences of sparsegraphs based on Lp graphons, whic...
Abstract. We introduce and develop a theory of limits for sequences of sparse graphs based on Lp gra...
This paper provides an overview of results, concerning longest or heaviest paths, in the area of ran...
Over the last few years a wide array of random graph models have been postulated to understand prope...
We consider an evolving preferential attachment random graph model where at discrete times a new nod...