In 2004, Frieze, Krivelevich and Martin [17] established the emergence of a giant component in random subgraphs of pseudo-random graphs. We study several typical properties of the giant component, most notably its expansion characteristics. We establish an asymptotic vertex expansion of connected sets in the giant by a factor of $\tilde{O}\left(\epsilon^2\right)$. From these expansion properties, we derive that the diameter of the giant is typically $O_{\epsilon}\left(\log n\right)$, and that the mixing time of a lazy random walk on the giant is asymptotically $O_{\epsilon}\left(\log^2 n\right)$. We also show similar asymptotic expansion properties of (not necessarily connected) linear sized subsets in the giant, and the typical existence o...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and...
Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and...
In this paper, we investigate the appearance of the giant component in random subgraphs G(p) of a gi...
We consider vertex percolation on pseudo-random $d-$regular graphs. The previous study by the second...
Building on the methods developed in joint work with Béla Bollobás and Svante Janson, we study the p...
A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at r...
A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at r...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
Abstract. In a recent work of the authors and Kim, we derived a com-plete description of the largest...
In this thesis, we explore several problems related to understanding the relationships between a ran...
We study the 'rank 1 case' of the inhomogeneous random graph model. In the subcritical case we deriv...
We present a new approach to showing that random graphs are nearly optimal expanders. This approach ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and...
Recently, we adapted random walk arguments based on work of Nachmias and Peres, Martin-Löf, Karp and...
In this paper, we investigate the appearance of the giant component in random subgraphs G(p) of a gi...
We consider vertex percolation on pseudo-random $d-$regular graphs. The previous study by the second...
Building on the methods developed in joint work with Béla Bollobás and Svante Janson, we study the p...
A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at r...
A randomly evolving graph, with vertices immigrating at rate n and each possible edge appearing at r...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
Abstract. In a recent work of the authors and Kim, we derived a com-plete description of the largest...
In this thesis, we explore several problems related to understanding the relationships between a ran...
We study the 'rank 1 case' of the inhomogeneous random graph model. In the subcritical case we deriv...
We present a new approach to showing that random graphs are nearly optimal expanders. This approach ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...
We study the largest component of a random (multi)graph on n vertices with a given degree sequence. ...