A5085599698- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Advanced Text Analysis Techniques
- Data Visualization and Analytics
- Music and Audio Processing
- Topic Modeling
- Bioinformatics and Genomic Networks
- Medical Image Segmentation Techniques
- Misinformation and Its Impacts
- Cognitive Science and Mapping
- Image and Signal Denoising Methods
- Topological and Geometric Data Analysis
- Urban Design and Spatial Analysis
- Public Spaces through Art
- Land Use and Ecosystem Services
- Advanced Statistical Methods and Models
- Cell Image Analysis Techniques
- Data Analysis with R
- Evolutionary Game Theory and Cooperation
- Machine Learning in Materials Science
- Advanced Image Fusion Techniques
- Human Mobility and Location-Based Analysis
- Music Technology and Sound Studies
- Metabolomics and Mass Spectrometry Studies
- Complex Systems and Time Series Analysis
George Mason University
2024-2025
Universidade de São Paulo
2016-2025
Institute for Scientific Interchange
2022-2024
Universidade Federal de São Carlos
2015-2022
Universidad de Zaragoza
2021
Brazilian Society of Computational and Applied Mathematics
2016
Czech Academy of Sciences, Institute of Physics
2016
Statistical methods have been widely employed in recent years to grasp many language properties. The application of such techniques allowed an improvement several linguistic applications, which encompasses machine translation, automatic summarization and document classification. In the latter, approaches emphasized semantical content texts, as it is case bag-of-word models. This approach has certainly yielded reasonable performance. However, some potential features structural organization...
Abstract The global production and consumption of vegetable oils have sparked wide-ranging often emotive discussions on sustainable development, especially social media. Here we analyze over 20 million tweets related to explore the key factors shaping public opinion. Coconut, olive, palm dominate media discourse not proportionally their production. Olive oil remarkably correlate with Twitter’s (now X) growth, while coconut shows more bursts activity. Discussions around olive primarily focus...
Statistical techniques that analyze texts, referred to as text analytics, have departed from the use of simple word count statistics towards a new paradigm. Text mining now hinges on more sophisticated set methods, including representations in terms complex networks. While well-established word-adjacency (co-occurrence) methods successfully grasp syntactical features written they are unable represent important aspects textual data, such its topical structure, i.e. sequence subjects...
The global production and consumption of vegetable oils have sparked several discussions on sustainable development. This study analyzes over 20 million tweets related to explore the key factors shaping public opinion. We found that coconut, olive, palm dominate social media discourse despite their lower contribution overall production. discussion about olive remarkably correlates with Twitter's growth, while coconut increases more significantly bursts activity. Discussions around primarily...
Building classification is crucial for population estimation, traffic planning, urban and emergency response applications. Although essential, such data often not readily available. To alleviate this problem, work presents a comprehensive dataset by providing residential/non-residential building covering the entire United States. We developed of types based on footprints available OpenStreetMap information. The validated using authoritative ground truth select counties in U.S., which shows...
Many real systems have been modelled in terms of network concepts, and written texts are a particular example information networks. In recent years, the use methods to analyze language has allowed discovery several interesting findings, including proposition novel models explain emergence fundamental universal patterns. While syntactical networks, one most prevalent networked texts, display both scale-free small-world properties, such representation fails capturing other textual features, as...
A framework integrating information theory and network science is proposed, giving rise to a potentially new area. By incorporating concepts such as complexity, coding, topological projections dynamics, the proposed network-based paves way not only extending traditional science, but also modeling, characterizing analyzing broad class of real-world problems, from language communication DNA coding. Basically, an original supposed be transmitted, with or without compaction, through sequence...
As a consequence of its capability creating high level abstractions from data, deep learning has been effectively employed in wide range applications, including physics. Though can be, at first and simplistically understood terms very large neural networks, it also encompasses new concepts methods. In order to understand apply learning, is important become familiarized with the respective basic concepts. this text, after briefly revising some works relating physics we introduce discuss main...
Studies regarding knowledge organization and acquisition are of great importance to understand areas related science technology. A common way model the relationship between different concepts is through complex networks. In such representations, network's nodes store edges represent their relationships. Several studies that considered this type structure dynamics employed one or more agents discover node by walking on network. study, we investigate a considering single as "network brain"....
Among the several approaches that have been attempted at studying opinion dynamics, Sznajd model provides some particularly interesting features, such as its simplicity and ability to represent of mechanisms believed be involved in real-world dynamics. The standard zero temperature is characterized by converging one stable state, implying null diversity opinions. In present work, we develop an approach—namely adaptive model—in which changes individual (i.e. a network node) implies possible...