Search results for "Random network model"

showing 2 items of 2 documents

Predicting mobile apps spread: An epidemiological random network modeling approach

2017

[EN] The mobile applications business is a really big market, growing constantly. In app marketing, a key issue is to predict future app installations. The influence of the peers seems to be very relevant when downloading apps. Therefore, the study of the evolution of mobile apps spread may be approached using a proper network model that considers the influence of peers. Influence of peers and other social contagions have been successfully described using models of epidemiological type. Hence, in this paper we propose an epidemiological random network model with realistic parameters to predict the evolution of downloads of apps. With this model, we are able to predict the behavior of an app…

Behavior over timeRandom graph050103 clinical psychologyComputer scienceeducation05 social sciencesMobile appsMechanical engineeringEpidemiological random network050109 social psychologyComputer Graphics and Computer-Aided DesignData scienceRandom network modelTerm (time)UploadModeling and Simulationmental disordersKey (cryptography)0501 psychology and cognitive sciencesMobile app spreadPredictionMATEMATICA APLICADASoftwareNetwork modelSIMULATION
researchProduct

Modeling and predicting the Spanish Bachillerato academic results over the next few years using a random network model

2016

[EN] Academic performance is a concern of paramount importance in Spain, where around of 30% of the students in the last two courses in high school, before to access to the labor market or to the university, do not achieve the minimum knowledge required according to the Spanish educational law in force. In order to analyze this problem, we propose a random network model to study the dynamics of the academic performance in Spain. Our approach is based on the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. Moreover, in order to consider the uncertainty in the estimation of model parameters, we perform a lot of simulations taking as t…

Statistics and ProbabilityEstimation020203 distributed computingRandom network modelingOperations researchComputer scienceDifferential Evolution (DE)010103 numerical & computational mathematics02 engineering and technologyCondensed Matter Physics01 natural sciencesRandom network modelConfidence intervalTransmission dynamicsOrder (exchange)0202 electrical engineering electronic engineering information engineeringAcademic underachievement0101 mathematicsPredictionMATEMATICA APLICADAPhysica A: Statistical Mechanics and its Applications
researchProduct