Towards a big data framework for analyzing social media content

JL Jimenez-Marquez, I Gonzalez-Carrasco… - International Journal of …, 2019 - Elsevier
Modern companies generate value by digitalizing their services and products. Knowing what
customers are saying about the firm through reviews in social media content constitutes a …

Financial networks, bank efficiency and risk-taking

TC Silva, SM Guerra, BM Tabak… - Journal of Financial …, 2016 - Elsevier
Networks with a core–periphery topology are found in many financial systems across
different jurisdictions. Though the theoretical and structural aspects of core–periphery …

Evaluating systemic risk using bank default probabilities in financial networks

SRS de Souza, TC Silva, BM Tabak… - Journal of Economic …, 2016 - Elsevier
In this paper, we propose a novel methodology to measure systemic risk in networks
composed of financial institutions. Our procedure combines the impact effects obtained from …

Organizational Data Classification Based on the Importance Concept of Complex Networks

MG Carneiro, L Zhao - IEEE transactions on neural networks …, 2017 - ieeexplore.ieee.org
Data classification is a common task, which can be performed by both computers and
human beings. However, a fundamental difference between them can be observed …

Towards a future reallocation of work between humans and machines–taxonomy of tasks and interaction types in the context of machine learning

F Traumer, S Oeste-Reiß, JM Leimeister - 2017 - papers.ssrn.com
In today's race for competitive advantages, more and more companies implement
innovations in artificial intelligence and machine learning (ML). Although these machines …

From human wellbeing to an ecocentric perspective: How nature-connectedness can extend the benefits of marine wildlife experiences

R Yerbury, B Weiler - Anthrozoös, 2020 - Taylor & Francis
Contact with nature and experiences with nonhuman animals have been shown to
contribute to nature connection and human wellbeing, both of which are innate needs …

Structure and dynamics of the global financial network

TC Silva, SRS De Souza, BM Tabak - Chaos, Solitons & Fractals, 2016 - Elsevier
In this paper, we study the evolution of the network topology for the global financial market.
We evaluate the level of diversification and participation of developed and emerging …

A survey of the analysis of complex systems based on complex network theory and deep learning

D Lu, S Yang - International Journal of Performability Engineering, 2022 - ijpe-online.com
From the perspective of complex network theory, complex systems can be characterized by
the interaction of microscopic units through nonlinear effects, yielding macroscopic …

Musical rhythmic pattern extraction using relevance of communities in networks

AE Coca, L Zhao - Information Sciences, 2016 - Elsevier
The rhythmic background of a musical piece is usually composed of featured elements that
define the musical genre. For each song, such elements form rhythmic patterns, the most …

Pattern recognition on networks using bifurcated deterministic self-avoiding walks

JV Merenda, G Travieso, OM Bruno - Chaos, Solitons & Fractals, 2025 - Elsevier
Many studies have focused on understanding and exploring network behaviors and
classifying their nodes. On the other hand, few works have concentrated on classifying …