The degree-restricted random process is a natural algorithmic model for generating graphs with degree sequence D_n=(d_1, \ldots, d_n): starting with an empty n-vertex graph, it sequentially adds new random edges so that the degree of each vertex v_i remains at most d_i. Wormald conjectured in 1999 that, for d-regular degree sequences D_n, the final graph of this process is similar to a uniform random d-regular graph. In this paper we show that, for degree sequences D_n that are not nearly regular, the final graph of the degree-restricted random process differs substantially from a uniform random graph with degree sequence D_n. The combinatorial proof technique is our main conceptual contribution: we adapt the switching method to the degre...
In this paper, we prove the first-order convergence law for the uniform attachment random graph with...
Two digraphs both of whose nodes consist of the set of unlabeled graphs of order n having bounded ve...
Random graph processes are basic mathematical models for large-scale networks evolving over time. Th...
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
In this work we determine the expected number of vertices of degree k = k(n) in a graph with n verti...
Recently, Barabási and Albert [2] suggested modeling complex real-world networks such as the worldwi...
In this paper we consider a simple Markov chain for bipartite graphs with given degree sequence on n...
We introduce a model for a growing random graph based on simultaneous reproduction of the vertices. ...
We consider bond percolation on random graphs with given degrees and bounded average degree. In part...
AbstractThis paper focuses on the degree sequence of a random graph process with copying and vertex ...
We find an asymptotic enumeration formula for the number of simple $r$-uniform hypergraphs with a gi...
AbstractThe paper sets out to investigate the degree sequences d1⩾d2⩾…⩾dn of random graphs of order ...
Let GD be the set of graphs G(V, E) with n vertices, and the degree sequence equal to D = (d1, d2,.....
The paper sets out to investigate the degree sequences d1≥d2≥...≥dn of random graphs of order n in w...
This publication is with permission of the rights owner freely accessible due to an Alliance licence...
In this paper, we prove the first-order convergence law for the uniform attachment random graph with...
Two digraphs both of whose nodes consist of the set of unlabeled graphs of order n having bounded ve...
Random graph processes are basic mathematical models for large-scale networks evolving over time. Th...
AbstractAn algorithm is presented which randomly selects a labelled graph with specified vertex degr...
In this work we determine the expected number of vertices of degree k = k(n) in a graph with n verti...
Recently, Barabási and Albert [2] suggested modeling complex real-world networks such as the worldwi...
In this paper we consider a simple Markov chain for bipartite graphs with given degree sequence on n...
We introduce a model for a growing random graph based on simultaneous reproduction of the vertices. ...
We consider bond percolation on random graphs with given degrees and bounded average degree. In part...
AbstractThis paper focuses on the degree sequence of a random graph process with copying and vertex ...
We find an asymptotic enumeration formula for the number of simple $r$-uniform hypergraphs with a gi...
AbstractThe paper sets out to investigate the degree sequences d1⩾d2⩾…⩾dn of random graphs of order ...
Let GD be the set of graphs G(V, E) with n vertices, and the degree sequence equal to D = (d1, d2,.....
The paper sets out to investigate the degree sequences d1≥d2≥...≥dn of random graphs of order n in w...
This publication is with permission of the rights owner freely accessible due to an Alliance licence...
In this paper, we prove the first-order convergence law for the uniform attachment random graph with...
Two digraphs both of whose nodes consist of the set of unlabeled graphs of order n having bounded ve...
Random graph processes are basic mathematical models for large-scale networks evolving over time. Th...