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» The Logic of Communication Graphs
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CSE
2009
IEEE
15 years 10 months ago
The Social Behaviors of Experts in Massive Multiplayer Online Role-Playing Games
— We examine the social behaviors of game experts in Everquest II, a popular massive multiplayer online role-playing game (MMO). We rely on Exponential Random Graph Models (ERGM)...
David Huffaker, Jing (Annie) Wang, Jeffrey William...
INFOCOM
2005
IEEE
15 years 9 months ago
GLIDER: gradient landmark-based distributed routing for sensor networks
— We present Gradient Landmark-Based Distributed Routing (GLIDER), a novel naming/addressing scheme and associated routing algorithm, for a network of wireless communicating node...
Qing Fang, Jie Gao, Leonidas J. Guibas, V. de Silv...
CORR
2010
Springer
107views Education» more  CORR 2010»
15 years 2 months ago
Maximum Betweenness Centrality: Approximability and Tractable Cases
The Maximum Betweenness Centrality problem (MBC) can be defined as follows. Given a graph find a k-element node set C that maximizes the probability of detecting communication be...
Martin Fink, Joachim Spoerhase
ICDCS
2009
IEEE
16 years 1 months ago
A Note on Distributed Stable Matching
We consider the distributed complexity of the stable marriage problem. In this problem, the communication graph is undirected and bipartite, and each node ranks its neighbors. Giv...
Alex Kipnis, Boaz Patt-Shamir
EUROSYS
2007
ACM
16 years 1 months ago
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...