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» On the distribution of eigenvalues of graphs
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FOCS
1994
IEEE
15 years 10 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
AUTOMATICA
2008
116views more  AUTOMATICA 2008»
15 years 6 months ago
A dynamical systems approach to weighted graph matching
Graph matching is a fundamental problem that arises frequently in the areas of distributed control, computer vision, and facility allocation. In this paper, we consider the optimal...
Michael M. Zavlanos, George J. Pappas
JGAA
2007
124views more  JGAA 2007»
15 years 6 months ago
Energy Models for Graph Clustering
The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
Andreas Noack
SPAA
2009
ACM
16 years 7 months ago
Routing without ordering
We analyze the correctness and complexity of two well-known routing algorithms, introduced by Gafni and Bertsekas (1981): By reversing the directions of some edges, these algorith...
Bernadette Charron-Bost, Antoine Gaillard, Jennife...
CORR
2010
Springer
156views Education» more  CORR 2010»
15 years 6 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran