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» On Finding Dense Subgraphs
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IM
2008
14 years 9 months ago
Finding Strongly Knit Clusters in Social Networks
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
Nina Mishra, Robert Schreiber, Isabelle Stanton, R...
ECCC
2006
70views more  ECCC 2006»
14 years 9 months ago
Finding a Heaviest Triangle is not Harder than Matrix Multiplication
We show that for any > 0, a maximum-weight triangle in an undirected graph with n vertices and real weights assigned to vertices can be found in time O(n + n2+), where is the ...
Artur Czumaj, Andrzej Lingas
KDD
2009
ACM
216views Data Mining» more  KDD 2009»
15 years 10 months ago
Finding a team of experts in social networks
Given a task T , a pool of individuals X with different skills, and a social network G that captures the compatibility among these individuals, we study the problem of finding X ,...
Theodoros Lappas, Kun Liu, Evimaria Terzi
80
Voted
IPPS
2007
IEEE
15 years 4 months ago
A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph
Graphs capture the essential elements of many problems broadly defined as searching or categorizing. With the rapid increase of data volumes from sensors, many application discipl...
Steve Reinhardt, George Karypis
COLT
2003
Springer
15 years 2 months ago
On Finding Large Conjunctive Clusters
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
Nina Mishra, Dana Ron, Ram Swaminathan