509 citations · 2.7k across the 76 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Using virtual edges to extract keywords from texts modeled as complex networks
Jorge A. V. Tohalino, Thiago C. Silva, Diego R. Amancio
Detecting keywords in texts is important for many text mining applications. Graph-based methods have been commonly used to automatically find the key concepts in texts, however, re…
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…