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» Distributed Innovation in Classes of Networks
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IPPS
2009
IEEE
14 years 3 months ago
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysi...
George Chin Jr., Andrès Márquez, Sut...
PODC
2006
ACM
14 years 3 months ago
Computing separable functions via gossip
Motivated by applications to sensor, peer-to-peer, and adhoc networks, we study the problem of computing functions of values at the nodes in a network in a totally distributed man...
Damon Mosk-Aoyama, Devavrat Shah
PERCOM
2008
ACM
14 years 8 months ago
Stability and Delay Analysis for Multi-Hop Single-Sink Wireless Sensor Networks
Wireless sensor networks are commonly used to monitor and control the physical world. To provide a meaningful service such as disaster and emergency surveillance, meeting real-tim...
Muhammad Farukh Munir, Arzad Alam Kherani, Fethi F...
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
13 years 10 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
AAAI
2010
13 years 10 months ago
The Genetic Algorithm as a General Diffusion Model for Social Networks
Diffusion processes taking place in social networks are used to model a number of phenomena, such as the spread of human or computer viruses, and the adoption of products in `vira...
Mayank Lahiri, Manuel Cebrián