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» Approximate Discovery of Random Graphs
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ACMSE
2005
ACM
14 years 1 months ago
Bibliometric approach to community discovery
Recent research suggests that most of the real-world random networks organize themselves into communities. Communities are formed by subsets of nodes in a graph, which are closely...
Narsingh Deo, Hemant Balakrishnan
ALGORITHMICA
2006
161views more  ALGORITHMICA 2006»
13 years 7 months ago
The Expected Size of the Rule k Dominating Set
Dai, Li, and Wu proposed Rule k, a localized approximation algorithm that attempts to find a small connected dominating set in a graph. In this paper we consider the "average...
Jennie C. Hansen, Eric Schmutz, Li Sheng
WWW
2004
ACM
14 years 8 months ago
Efficient pagerank approximation via graph aggregation
We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...
Andrei Z. Broder, Ronny Lempel, Farzin Maghoul, Ja...
STOC
2004
ACM
110views Algorithms» more  STOC 2004»
14 years 8 months ago
On sums of independent random variables with unbounded variance, and estimating the average degree in a graph
We prove the following inequality: for every positive integer n and every collection X1, . . . , Xn of nonnegative independent random variables that each has expectation 1, the pr...
Uriel Feige
PVLDB
2010
112views more  PVLDB 2010»
13 years 6 months ago
On Triangulation-based Dense Neighborhood Graphs Discovery
This paper introduces a new definition of dense subgraph pattern, the DN-graph. DN-graph considers both the size of the sub-structure and the minimum level of interactions betwee...
Nan Wang, Jingbo Zhang, Kian-Lee Tan, Anthony K. H...