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Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Fernando Silva
  • Cluster

    Informática
  • Cargo

    Investigador Coordenador
  • Desde

    01 janeiro 2009
009
Publicações

2021

Time series analysis via network science: Concepts and algorithms

Autores
Silva, VF; Silva, ME; Ribeiro, P; Silva, F;

Publicação
WIREs Data Mining and Knowledge Discovery

Abstract

2021

A Survey on Subgraph Counting: Concepts, Algorithms, and Applications to Network Motifs and Graphlets

Autores
Ribeiro, P; Paredes, P; Silva, MEP; Aparicio, D; Silva, F;

Publicação
ACM COMPUTING SURVEYS

Abstract
Computing subgraph frequencies is a fundamental task that lies at the core of several network analysis methodologies, such as network motifs and graphlet-based metrics, which have been widely used to categorize and compare networks from multiple domains. Counting subgraphs is, however, computationally very expensive, and there has been a large body of work on efficient algorithms and strategies to make subgraph counting feasible for larger subgraphs and networks. This survey aims precisely to provide a comprehensive overview of the existing methods for subgraph counting. Our main contribution is a general and structured review of existing algorithms, classifying them on a set of key characteristics, highlighting their main similarities and differences. We identify and describe the main conceptual approaches, giving insight on their advantages and limitations, and we provide pointers to existing implementations. We initially focus on exact sequential algorithms, but we also do a thorough survey on approximate methodologies (with a trade-off between accuracy and execution time) and parallel strategies (that need to deal with an unbalanced search space).

2021

Energy-Aware Adaptive Offloading of Soft Real-Time Jobs in Mobile Edge Clouds

Autores
Silva, J; Marques, ERB; Lopes, LMB; Silva, F;

Publicação
CoRR

Abstract

2020

FOCAS: Penalising friendly citations to improve author ranking

Autores
Silva, J; Aparicio, D; Ribeiro, P; Silva, F;

Publicação
Proceedings of the ACM Symposium on Applied Computing

Abstract
Scientific impact is commonly associated with the number of citations received. However, an author can easily boost his own citation count by (i) publishing articles that cite his own previous work (self-citations), (ii) having co-authors citing his work (co-author citations), or (iii) exchanging citations with authors from other research groups (reciprocated citations). Even though these friendly citations inflate an author's perceived scientific impact, author ranking algorithms do not normally address them. They, at most, remove self-citations. Here we present Friends-Only Citations AnalySer (FOCAS), a method that identifies friendly citations and reduces their negative effect in author ranking algorithms. FOCAS combines the author citation network with the co-authorship network in order to measure author proximity and penalises citations between friendly authors. FOCAS is general and can be regarded as an independent module applied while running (any) PageRank-like author ranking algorithm. FOCAS can be tuned to use three different criteria, namely authors' distance, citation frequency, and citation recency, or combinations of these. We evaluate and compare FOCAS against eight state-of-the-art author ranking algorithms. We compare their rankings with a ground-truth of best paper awards. We test our hypothesis on a citation and co-authorship network comprised of seven Information Retrieval top-conferences. We observed that FOCAS improved author rankings by 25% on average and, in one case, leads to a gain of 46%. © 2020 ACM.

2020

Jay: Adaptive Computation Offloading for Hybrid Cloud Environments

Autores
Silva, J; Marques, ERB; Lopes, LMB; Silva, F;

Publicação
2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC)

Abstract

Teses
supervisionadas

2020

Scheduling Computations Over High Churn Networks of Mobile Devices

Autor
Joaquim Magalhães Esteves da Silva

Instituição
UP-FCUP

2020

Network Analysis for Research Interests Discovery

Autor
Jorge Miguel Barros da Silva

Instituição
UP-FCUP

2019

Network Comparison and Node Ranking in Complex Networks

Autor
David Oliveira Aparício

Instituição
UP-FCUP

2019

Network Analysis for Research Interests Discovery

Autor
Jorge Miguel Barros da Silva

Instituição
UP-FCUP

2019

Scheduling Computations Over High Churn Networks of Mobile Devices

Autor
Joaquim Magalhães Esteves da Silva

Instituição
UP-FCUP