96 citations · 326 across the 16 of their papers we have counts for
16 papers
Charting the life of Billboard hits through memory, turnover, and predictability
Arthur A. B. Pessa, Angelo A. Flores, Matjaz Perc +1
Rankings shape the visibility and success of cultural products, yet their temporal dynamics remain underexplored when comparing distinct ranked objects within the same domain. Here…
Bipartite structure and dynamics of political corruption networks
Monica V. Prates, Arthur A. B. Pessa, Sebastian Goncalves +2
Political corruption is inherently an affiliation process linking agents to corruption cases; yet it is often studied via one-mode projections that connect co-offenders within the…
Similarity networks of ordinal-pattern transitions classify falling paper trajectories
Angelo A. Flores, Leonardo G. J. M. Voltarelli, Andre S. Sunahara +2
Paper fragments in free fall constitute a simple yet paradigmatic mechanical system exhibiting remarkably complex motions. Despite a long history of investigation, this system has…
Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems
Arthur A. B. Pessa, Leonardo G. J. M. Voltarelli, Lucio Cardozo-Filho +5
Understanding the high-pressure phase behavior of carbon dioxide-hydrocarbon mixtures is of considerable interest owing to their wide range of applications. Under certain condition…
Structural roles and gender disparities in corruption networks
Arthur A. B. Pessa, Alvaro F. Martins, Monica V. Prates +4
Criminal activities are predominantly due to males, with females exhibiting a significantly lower involvement, especially in serious offenses. This pattern extends to organized cri…
Two-by-two ordinal patterns in art paintings
Mateus M. Tarozo, Arthur A. B. Pessa, Luciano Zunino +3
Quantitative analysis of visual arts has recently expanded to encompass a more extensive array of artworks due to the availability of large-scale digitized art collections. Consist…
Shape patterns in popularity series of video games
Leonardo R. Cunha, Arthur A. B. Pessa, Renio S. Mendes
In recent years, digital games have become increasingly present in people's lives both as a leisure activity or in gamified activities of everyday life. Despite this growing presen…
Characterizing unstructured data with the nearest neighbor permutation entropy
Leonardo G. J. M. Voltarelli, Arthur A. B. Pessa, Luciano Zunino +4
Permutation entropy and its associated frameworks are remarkable examples of physics-inspired techniques adept at processing complex and extensive datasets. Despite substantial pro…
Complexity of the COVID-19 pandemic in Maringa
Andre S. Sunahara, Arthur A. B. Pessa, Matjaz Perc +1
While extensive literature exists on the COVID-19 pandemic at regional and national levels, understanding its dynamics and consequences at the city level remains limited. This stud…
Deep Learning Criminal Networks
Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa +6
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a s…
Age and market capitalization drive large price variations of cryptocurrencies
Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro
Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets…
Clustering free-falling paper motion with complexity and entropy
Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro
Many simple natural phenomena are characterized by complex motion that appears random at first glance, but that often displays underlying patterns and behavior that can be clustere…
Determining liquid crystal properties with ordinal networks and machine learning
Arthur A. B. Pessa, Rafael S. Zola, Matjaz Perc +1
Machine learning methods are becoming increasingly important for the development of materials science. In spite of this, the use of image analysis in the development of these syste…
ordpy: A Python package for data analysis with permutation entropy and ordinal network methods
Arthur A. B. Pessa, Haroldo V. Ribeiro
Since Bandt and Pompe's seminal work, permutation entropy has been used in several applications and is now an essential tool for time series analysis. Beyond becoming a popular and…
Mapping images into ordinal networks
Arthur A. B. Pessa, Haroldo V. Ribeiro
An increasing abstraction has marked some recent investigations in network science. Examples include the development of algorithms that map time series data into networks whose ver…
Characterizing stochastic time series with ordinal networks
Arthur A. B. Pessa, Haroldo V. Ribeiro
Approaches for mapping time series to networks have become essential tools for dealing with the increasing challenges of characterizing data from complex systems. Among the differe…