activity
20042026
most citedPrincipal Component Analysis: A Natural Approach to Data Exploration

509 citations · 1.3k across the 43 of their papers we have counts for

collaborators

44 papers

cs.SI2026

A null model to detect coordinated online behavior integrating evidence from multiple indicators

Filipi Nascimento Silva, Manita Pote, Lake Yin +5

Coordinated online accounts can amplify messages and manipulate attention, but detecting such behavior is challenging due to confounding factors like account activity and item popu…

cs.SI2023

Comparing biased random walks in graph embedding and link prediction

Adilson Vital, Filipi N. Silva, Diego R. Amancio

Random walks find extensive application across various complex network domains, including embedding generation and link prediction. Despite the widespread utilization of random wal…

cs.SI2022

Identifying the perceived local properties of networks reconstructed from biased random walks

Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio

Many real-world systems give rise to a time series of symbols. The elements in a sequence can be generated by agents walking over a networked space so that whenever a node is visit…

cs.CL2022

Using Full-Text Content to Characterize and Identify Best Seller Books

Giovana D. da Silva, Filipi N. Silva, Henrique F. de Arruda +3

Artistic pieces can be studied from several perspectives, one example being their reception among readers over time. In the present work, we approach this interesting topic from th…

cs.SI2022★ 1 cited

Recovering network topology and dynamics via sequence characterization

Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio

Sequences arise in many real-world scenarios; thus, identifying the mechanisms behind symbol generation is essential to understanding many complex systems. This paper analyzes sequ…

cs.CL2022★ 7 cited

Text characterization based on recurrence networks

Bárbara C. e Souza, Filipi N. Silva, Henrique F. de Arruda +3

Several complex systems are characterized by presenting intricate characteristics taking place at several scales of time and space. These multiscale characterizations are used in v…

cs.DL2021★ 1 cited

Analyzing the influence of prolific collaborations on authors productivity and visibility

Ana C. M. Brito, Filipi N. Silva, Diego R. Amancio

Science has become more collaborative over the past years, a phenomenon that is related to the increase in the number of authors per paper and the emergence of interdisciplinary wo…

physics.soc-ph2021★ 10 cited

Robustness modularity in complex networks

Filipi N. Silva, Aiiad Albeshri, Vijey Thayananthan +2

A basic question in network community detection is how modular a given network is. This is usually addressed by evaluating the quality of partitions detected in the network. The Gi…

cs.CL2021★ 6 cited

A pattern recognition approach for distinguishing between prose and poetry

Henrique F. de Arruda, Sandro M. Reia, Filipi N. Silva +2

Poetry and prose are written artistic expressions that help us to appreciate the reality we live. Each of these styles has its own set of subjective properties, such as rhyme and r…

cs.DL2021

On the Stability of Citation Networks

Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva +2

Citation networks can reveal many important information regarding the development of science and the relationship between different areas of knowledge. Thus, many studies have anal…

physics.ao-ph2020★ 53 cited

Detecting climate teleconnections with Granger causality

Filipi N Silva, Didier A. Vega-Oliveros, Xiaoran Yan +5

Climate system teleconnections are crucial for improving climate predictability, but difficult to quantify. Standard approaches to identify teleconnections are often based on corre…

cs.DL2020★ 1 cited

Associations between author-level metrics in subsequent time periods

Ana C. M. Brito, Filipi N. Silva, Diego R. Amancio

Understanding the dynamics of authors is relevant to predict and quantify performance in science. While the relationship between recent and future citation counts is well-known, ma…

cs.DL2020

Transistors: A Network Science-Based Historical Perspective

Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva +1

The development of modern electronics was to a large extent related to the advent and popularization of bipolar junction technology. The present work applies science of science con…

cs.SI2020★ 17 cited

A comparative analysis of knowledge acquisition performance in complex networks

Lucas Guerreiro, Filipi N. Silva, Diego R. Amancio

Discovery processes have been an important topic in the network science field. The exploration of nodes can be understood as the knowledge acquisition process taking place in the n…

cs.DL2020

Classification of abrupt changes along viewing profiles of scientific articles

Ana C. M. Brito, Filipi N. Silva, Henrique F. de Arruda +3

With the expansion of electronic publishing, a new dynamics of scientific articles dissemination was initiated. Nowadays, many works are widely disseminated even before publication…

cs.DL2019★ 9 cited

Recency predicts bursts in the evolution of author citations

Filipi Nascimento Silva, Aditya Tandon, Diego Raphael Amancio +4

The citations process for scientific papers has been studied extensively. But while the citations accrued by authors are the sum of the citations of their papers, translating the d…

cs.SI2019★ 28 cited

A complex network approach to political analysis: application to the Brazilian Chamber of Deputies

Ana C. M. Brito, Filipi N. Silva, Diego R. Amancio

In this paper, we introduce a network-based methodology to study how clusters represented by political entities evolve over time. We constructed networks of voting data from the Br…

physics.soc-ph2019★ 16 cited

Opinion Diversity and Social Bubbles in Adaptive Sznajd Networks

Alexandre Benatti, Henrique Ferraz de Arruda, Filipi Nascimento Silva +2

Among the several approaches that have been attempted at studying opinion dynamics, the Sznajd model provides some particularly interesting features, such as its simplicity and abi…

physics.soc-ph2018★ 2 cited

Malleability of complex networks

Filipi N. Silva, Cesar H. Comin, Luciano da F. Costa

Most complex networks are not static, but evolve along time. Given a specific configuration of one such changing network, it becomes a particularly interesting issue to quantify th…

physics.soc-ph2018★ 2 cited

Can Spatiality Promote Diversity?

Bruno Messias, Filipi N. Silva, Cesar H. Comin +1

Real-world dynamics running on networks can be characterized in terms of their respective diversity, or heterogeneity of state values. Spatial networks can be understood as network…

cs.CE2018★ 509 cited

Principal Component Analysis: A Natural Approach to Data Exploration

Felipe L. Gewers, Gustavo R. Ferreira, Henrique F. de Arruda +4

Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical a…

cs.SI2018★ 16 cited

The Dynamics of Knowledge Acquisition via Self-Learning in Complex Networks

Thales S. Lima, Henrique F. de Arruda, Filipi N. Silva +3

Studies regarding knowledge organization and acquisition are of great importance to understand areas related to science and technology. A common way to model the relationship betwe…

physics.soc-ph2017★ 13 cited

Topological characterization of world cities

Guilherme S. Domingues, Filipi N. Silva, Cesar H. Comin +1

The topological organization of several world cities are studied according to respective representations by complex networks. As a first step, the city maps are processed by a rece…

physics.ins-det2017

A Pattern Recognition Approach to Transistor Array Parameter Variance

Luciano da F. Costa, Filipi N. Silva, Cesar H. Comin

The properties of bipolar junction transistors (BJTs) are known to vary in terms of their parameters. In this work, an experimental approach, including pattern recognition concepts…