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» Epigrass: a tool to study disease spread in complex networks
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SCFBM
2008
138views more  SCFBM 2008»
13 years 4 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
BMCBI
2005
124views more  BMCBI 2005»
13 years 4 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
ICLP
2010
Springer
13 years 8 months ago
Using Generalized Annotated Programs to Solve Social Network Optimization Problems
Abstract. Reasoning about social networks (labeled, directed, weighted graphs) is becoming increasingly important and there are now models of how certain phenomena (e.g. adoption o...
Paulo Shakarian, V. S. Subrahmanian, Maria Luisa S...
SASO
2008
IEEE
13 years 11 months ago
An Infection-Based Mechanism for Self-Adaptation in Multi-agent Complex Networks
Distributed mechanisms that regulate the behavior of autonomous agents in open multi-agent systems (MAS) are of high interest since we cannot employ centralized approaches relying...
Norman Salazar, Juan A. Rodríguez-Aguilar, ...
WWW
2011
ACM
12 years 12 months ago
Limiting the spread of misinformation in social networks
In this work, we study the notion of competing campaigns in a social network. By modeling the spread of influence in the presence of competing campaigns, we provide necessary too...
Ceren Budak, Divyakant Agrawal, Amr El Abbadi