• latentnet

  • Referenced in 18 articles [sw10550]
  • Fitting Latent Cluster Models for Networks with latentnet. latentnet is a package ... evaluate statistical latent position and cluster models for networks. Hoff, Raftery ... Handcock (2002) suggested an approach to modeling networks based on positing the existence ... simulate networks from a latent position or latent position cluster model...
  • PEPS

  • Referenced in 34 articles [sw03186]
  • tool used to analyze Stochastic Automata Networks(SAN) models. In its sequential version, the cost...
  • GNA

  • Referenced in 23 articles [sw35974]
  • computer tool for the modeling and simulation of genetic regulatory networks ... biologists in constructing a model of a genetic regulatory network using knowledge about regulatory interactions ... simulator of qualitative models of genetic regulatory networks in the form of piecewise-linear differential...
  • gss

  • Referenced in 277 articles [sw06099]
  • ANOVA decompositions. Extensive discussions are devoted to model construction, smoothing parameter selection, computation, and asymptotic ... Internet on CRAN, the Comprehensive R Archive Network. The use of gss facilities is illustrated...
  • Linda

  • Referenced in 103 articles [sw09427]
  • integrated network computers in particular. It differs from previous interprocess communication models in specifying that...
  • Ginsim

  • Referenced in 29 articles [sw09090]
  • suite for the qualitative modelling, simulation and analysis of regulatory networks. This paper presents GINsim ... qualitative modelling, analysis and simulation of genetic regulatory networks. Formally, our approach leans on discrete ... preliminary model analysis of the inter-cellular regulatory network activating Notch at the dorsal–ventral...
  • REVEAL

  • Referenced in 28 articles [sw36999]
  • investigated this possibility using binary models of genetic networks. Trajectories, or state transition tables ... synchronous Boolean networks, the algorithm is generalizable to include multi-state models, essentially allowing direct...
  • SamIam

  • Referenced in 16 articles [sw29886]
  • comprehensive tool for modeling and reasoning with Bayesian networks, developed in Java by the Automated ... graphical interface lets users develop Bayesian network models and save them in a variety...
  • GreatSPN

  • Referenced in 57 articles [sw00384]
  • analysis of PN models by sharing files. Using network file system capabilities, different analysis modules...
  • PRISM

  • Referenced in 34 articles [sw23359]
  • modeling formalisms, the hidden Markov model and Bayesian networks, are described by PRISM programs...
  • CONTEST

  • Referenced in 19 articles [sw12738]
  • controllable test toolbox for MATLAB. Large, sparse networks that describe complex interactions are a common ... challenging matrix computational tasks. Several random graph models have been proposed that ... capture key properties of real-life networks. These models provide realistic, parametrized matrices for testing ... random network toolbox for MATLAB that implements nine models. The models produce unweighted directed...
  • MicroGrid

  • Referenced in 11 articles [sw09654]
  • applications, middleware, resources, and networks depends on coordinated and accurate modeling of all four ... creates a virtual Grid environment – accurately modeling networks, resources, the information services (resource and network ... provides packet-level accurate, but scalable network modeling. We present experimental results with applications which ... that it accurately models both their and underlying resource and network behavior. We also study...
  • Spikenet

  • Referenced in 12 articles [sw08892]
  • event-driven simulation package for modelling large networks ... spiking neurons. Many biological neural network models face the problem of scalability because ... neurons and billions of connections can be modelled. We describe the underlying computation and implementation ... SpikeNET, our neural network simulation package. The type of model one can build...
  • TwitterRank

  • Referenced in 16 articles [sw15639]
  • micro-blogging services, employs a social-networking model called ”following”, in which each user...
  • Brian

  • Referenced in 21 articles [sw23588]
  • simulator for spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive ... flexible tool for rapidly developing new models, especially networks of single-compartment neurons. In addition...
  • Pynn

  • Referenced in 14 articles [sw14128]
  • simulator-independent language for building neuronal network models. In other words, you can write...
  • PAGODA

  • Referenced in 14 articles [sw08569]
  • area of software-defined radio networks. We model the problem of “optimal” parameter assignments ... goal-oriented distributed architecture (PAGODA) for modelling radio networks...
  • CDMA/OVSF

  • Referenced in 12 articles [sw03215]
  • assignment algorithms for wireless ad hoc networks modelled by unit disk graph (UDG). We first ... wireless network of $n$ nodes modelled...
  • EpiModel

  • Referenced in 7 articles [sw16142]
  • stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods...
  • TAPAAL

  • Referenced in 17 articles [sw00947]
  • module translates timed-arc Petri net models into networks of timed automata and uses ... available at url{www.tapaal.net}), on its new modelling features and we demonstrate the efficiency...