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- C. Borgs, K. Vesztergombi
- 2006

We consider sequences of graphs (G n) and define various notions of convergence related to these sequences: " left convergence " defined in terms of the densities of homomorphisms from small graphs into G n ; " right convergence " defined in terms of the densities of homo-morphisms from G n into small graphs; and convergence in a suitably defined metric. In… (More)

Diffusion is a fundamental graph process, underpinning such phenomena as epidemic disease contagion and the spread of innovation by word-of-mouth. We address the algorithmic problem of finding a set of k initial seed nodes in a network so that the expected size of the resulting cascade is maximized, under the standard independent cascade model of network… (More)

We study random subgraphs of an arbitrary finite connected transitive graph G obtained by independently deleting edges with probability 1− p. Let V be the number of vertices in G, and let Ω be their degree. We define the critical threshold p c = p c (G, λ) to be the value of p for which the expected cluster size of a fixed vertex attains the value λV 1/3 ,… (More)

- Reid Andersen, Christian Borgs, Jennifer T. Chayes, Uriel Feige, Abraham D. Flaxman, Adam Tauman Kalai +2 others
- WWW
- 2008

High-quality, personalized recommendations are a key feature in many online systems. Since these systems often have explicit knowledge of social network structures, the recommendations may incorporate this information. This paper focuses on networks that represent trust and recommendation systems that incorporate these trust relationships. The goal of a… (More)

For a symmetric bounded measurable function W on [0, 1] 2 and a simple graph F , the homomor-phism density t(F, W) = Z [0,1] V (F) Y ij∈E(F) W (xi, xj) dx. can be thought of as a " moment " of W. We prove that every such function is determined by its moments up to a measure preserving transformation of the variables. The main motivation for this result… (More)

We introduce a model for directed scale-free graphs that grow with preferential attachment depending in a natural way on the in- and out-degrees. We show that the resulting in- and out-degree distributions are power laws with different exponents, reproducing observed properties of the worldwide web. We also derive exponents for the distribution of in-… (More)

- Christian Borgs, Jennifer T. Chayes, Alan M. Frieze, Jeong Han Kim, Prasad Tetali, Eric Vigoda +1 other
- FOCS
- 1999

We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangular subsets of the hypercubic lattice Z d. We prove that under certain circumstances, the mixing time in a box of side length L with periodic boundary conditions can be exponential in L d−1. In other words, under these circumstances, the mixing in these widely… (More)

- C. Borgs, J. T. Chayes, L. Lovásza, V. T. Sósb, K. Vesztergombi
- 2007

We consider sequences of graphs (G n) and define various notions of convergence related to these sequences including " left convergence, " defined in terms of the densities of homo-morphisms from small graphs into G n , and " right convergence, " defined in terms of the densities of homomorphisms from G n into small graphs. We show that right convergence is… (More)

We consider the general problem of finding the minimum weight b-matching on arbitrary graphs. We prove that, whenever the linear programming (LP) relaxation of the problem has no fractional solutions, then the belief propagation (BP) algorithm converges to the correct solution. We also show that when the LP relaxation has fractional solution then BP… (More)

External information propagates in the cell mainly through signaling cascades and transcriptional activation, allowing it to react to a wide spectrum of environmental changes. High-throughput experiments identify numerous molecular components of such cascades that may, however, interact through unknown partners. Some of them may be detected using data… (More)