In recent years, processing and analysing large graphs has become a major need in many research areas. Distributed graph processing programming models and frameworks arised as a natural solution to process linked data of ...

The creation of new and better recommendation algorithms for social networks is currently receiving much attention owing to the increasing need for new tools to assist users. The volume of available social data as well as ...

Large-scale graphs have become ubiquitous in social media. Computer-based recommendations in these huge graphs pose challenges in terms of algorithm design and resource usage efficiency when processing recommendations in ...

Given a sequence of random (directed and weighted) graphs, we address the problem of online monitoring and detection of changes in the underlying data distribution. Our idea is to endow sequential change-point detection ...

O crescimento das bases de dados observado nos últimos anos, que deu origem ao termo BigData, trouxe inúmeros desafios e despertou o interesse dos pesquisadores por formas inovadoras de extrair informações de grandes bases ...

Horizontal Visibility Graphs (HVGs) are a recently developed method to construct networks from time series. The values of the time series are considered as the nodes of the network and are linked to each other if there is ...

Due to technological advances, Internet of Things (IoT) systems are becoming increasingly complex. They are characterized by being multi-device and geographically distributed, which increases the possibility of errors of ...

The identification of topological vulnerabilities is a prerequisite for the study of security analysis. This paper presents a graph-theoretic framework to detect the minimum set of transmission lines interconnecting ...

Este documento muestra los resultados alcanzados durante el desarrollo de una herramienta que permite realizar transformaciones de modelos orientados a agentes (MAS) a modelos de síntesis de redes de procesos (PNS), cuyo ...