509 citations · 2.7k across the 76 of their papers we have counts for
10 papers · 2 filters
Robustness of community structure to node removal
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
The identification of modular structures is essential for characterizing real networks formed by a mesoscopic level of organization where clusters contain nodes with a high interna…
Probing the statistical properties of unknown texts: application to the Voynich Manuscript
Diego R. Amancio, Eduardo G. Altmann, Diego Rybski +2
While the use of statistical physics methods to analyze large corpora has been useful to unveil many patterns in texts, no comprehensive investigation has been performed investigat…
On the use of topological features and hierarchical characterization for disambiguating names in collaborative networks
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
Many features of complex systems can now be unveiled by applying statistical physics methods to treat them as social networks. The power of the analysis may be limited, however, by…
Complex networks analysis of language complexity
Diego R. Amancio, Sandra M. Aluisio, Osvaldo N. Oliveira +1
Methods from statistical physics, such as those involving complex networks, have been increasingly used in quantitative analysis of linguistic phenomena. In this paper, we represen…
Word sense disambiguation via high order of learning in complex networks
Thiago C. Silva, Diego R. Amancio
Complex networks have been employed to model many real systems and as a modeling tool in a myriad of applications. In this paper, we use the framework of complex networks to the pr…
Unveiling the relationship between complex networks metrics and word senses
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
The automatic disambiguation of word senses (i.e., the identification of which of the meanings is used in a given context for a word that has multiple meanings) is essential for su…
Using Complex Networks to Quantify Consistency in the Use of Words
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
In this paper we quantify the consistency of word usage in written texts represented by complex networks, where words were taken as nodes, by measuring the degree of preservation o…
Identification of Literary Movements Using Complex Networks to Represent Texts
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
The use of statistical methods to analyze large databases of text has been useful to unveil patterns of human behavior and establish historical links between cultures and languages…
Three-feature model to reproduce the topology of citation networks and the effects from authors' visibility on their h-index
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
Various factors are believed to govern the selection of references in citation networks, but a precise, quantitative determination of their importance has remained elusive. In this…
On time-varying collaboration networks
Matheus P. Viana, Diego R. Amancio, Luciano da F. Costa
The patterns of scientific collaboration have been frequently investigated in terms of complex networks without reference to time evolution. In the present work, we derive collabor…