activity
20192026
most citedordpy: A Python package for data analysis with permutation entropy and ordinal network methods

96 citations · 326 across the 16 of their papers we have counts for

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Showing physics.soc-phShow all

9 papers · 1 filter

physics.soc-ph2026

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…

physics.soc-ph2026★ 1 cited

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…

physics.soc-ph2025★ 4 cited

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…

physics.soc-ph2025★ 6 cited

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…

physics.soc-ph2024

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…

physics.soc-ph2023★ 11 cited

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…

physics.soc-ph2023★ 41 cited

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…

physics.soc-ph2023★ 36 cited

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…

physics.soc-ph2020★ 24 cited

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…