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A Qualitative Approach to Develop Niche Social Networks A Reading Social Networks Case Study
(Scitepress, 2016-01-01)
The daily use of social networks is in growth around the world and this includes niche social networks, which have as a main feature an audience segmented by some kind of affinity that particularizes a group. This paper ...
A qualitative approach to develop niche social networks: A reading social networks case study
(2016-01-01)
The daily use of social networks is in growth around the world and this includes niche social networks, which have as a main feature an audience segmented by some kind of affinity that particularizes a group. This paper ...
Limitations of trust management schemes in VANET and countermeasures
(2011-12-01)
Vehicular networks ensure that the information received from any vehicle is promptly and correctly propagated to nearby vehicles, to prevent accidents. A crucial point is how to trust the information transmitted, when the ...
Multilevel refinement based on neighborhood similarity
(Association for Computing Machinery - ACMInstituto Superior de Engenharia do Porto - ISEPPorto, 2014-07)
The multilevel graph partitioning strategy aims to reduce the computational cost of the partitioning algorithm by applying it on a coarsened version of the original graph. This strategy is very useful when large-scale ...
Florch: challenges on developing a new social network accessible for senescent users
(Universidad Provincial de Córdoba - UPCAssociation for Computing Machinery – ACMCórdoba, 2015-11)
Brazilian senescent population can grow three times the actual number in the next 20 years [18], being over 88 million people in 2035. This senescent growing number brings new challenges on quality of life for Brazilian ...
Boosting optimum-path forest clustering through harmony Search and its applications for intrusion detection in computer networks
(2012-12-01)
In this paper we propose a nature-inspired approach that can boost the Optimum-Path Forest (OPF) clustering algorithm by optimizing its parameters in a discrete lattice. The experiments in two public datasets have shown ...
Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification
(Ieee, 2014-01-01)
Evolutionary algorithms have been widely used for Artificial Neural Networks (ANN) training, being the idea to update the neurons' weights using social dynamics of living organisms in order to decrease the classification ...
Social Network Analysis on Grain Production in the Brazilian Scenario
(Springer, 2015-01-01)
This article provides study of the 2012/2013 grain harvest of federal units of Brazil in relation to the following factors: planted areas, productivity, and production, which assist producers in agricultural planning. The ...