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20102026
most citedPrincipal Component Analysis: A Natural Approach to Data Exploration

509 citations · 1.1k across the 42 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

physics.soc-ph2018

Intelligent Complex Networks

Henrique F. de Arruda, Cesar H. Comin, Luciano da F. Costa

The present work addresses the issue of using complex networks as artificial intelligence mechanisms. More specifically, we consider the situation in which puzzles, represented as…

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-ph2018

Note: Distance-Based Network Partitioning

Paulo J. P. de Souza, Cesar H. Comin, Luciano da F. Costa

A new method for identifying soft communities in networks is proposed. Reference nodes, either selected using a priori information about the network or according to relevant node m…