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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

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9 papers · 1 filter

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.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.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.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…

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…

cs.SI2017★ 76 cited

Knowledge Acquisition: A Complex Networks Approach

Henrique F. de Arruda, Filipi N. Silva, Luciano da F. Costa +1

Complex networks have been found to provide a good representation of the structure of knowledge, as understood in terms of discoverable concepts and their relationships. In this co…

cs.SI2015★ 103 cited

Using network science and text analytics to produce surveys in a scientific topic

Filipi N. Silva, Diego R. Amancio, Maria Bardosova +2

The use of science to understand its own structure is becoming popular, but understanding the organization of knowledge areas is still limited because some patterns are only discov…