60 citations · 360 across the 11 of their papers we have counts for
8 papers · 1 filter
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…