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SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
14 years 11 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
COMBINATORICA
2008
87views more  COMBINATORICA 2008»
14 years 9 months ago
Quasi-randomness and the distribution of copies of a fixed graph
We show that if a graph G has the property that all subsets of vertices of size n/4 contain the "correct" number of triangles one would expect to find in a random graph ...
Asaf Shapira
75
Voted
EJC
2010
14 years 9 months ago
Geometric properties of Assur graphs
In our previous paper, we presented the combinatorial theory for minimal isostatic pinned frameworks - Assur graphs - which arise in the analysis of mechanical linkages. In this p...
Brigitte Servatius, Offer Shai, Walter Whiteley
ICALP
2009
Springer
15 years 10 months ago
Towards a Study of Low-Complexity Graphs
Abstract. We propose the study of graphs that are defined by lowcomplexity distributed and deterministic agents. We suggest that this viewpoint may help introduce the element of in...
Sanjeev Arora, David Steurer, Avi Wigderson
SIAMDM
2010
111views more  SIAMDM 2010»
14 years 4 months ago
Random Walks with Look-Ahead in Scale-Free Random Graphs
If m 2 is constant and 0 r log log n for a small positive constant , then whp a random walk with look-ahead r on a scale-free graph G = G(m, n) has cover time CG(r) (2/(mr-1(...
Colin Cooper, Alan M. Frieze