509 citations · 2.7k across the 76 of their papers we have counts for
9 papers · 1 filter
Extractive Multi-document Summarization Using Multilayer Networks
Jorge V. Tohalino, Diego R. Amancio
Huge volumes of textual information has been produced every single day. In order to organize and understand such large datasets, in recent years, summarization techniques have beco…
An Image Analysis Approach to the Calligraphy of Books
Henrique F. de Arruda, Vanessa Q. Marinho, Thales S. Lima +2
Text network analysis has received increasing attention as a consequence of its wide range of applications. In this work, we extend a previous work founded on the study of topologi…
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks
Jorge V. Tohalino, Diego R. Amancio
Due to the large amount of textual information available on Internet, it is of paramount relevance to use techniques that find relevant and concise content. A typical task devoted…
On the "Calligraphy" of Books
Vanessa Q. Marinho, Henrique F. de Arruda, Thales S. Lima +2
Authorship attribution is a natural language processing task that has been widely studied, often by considering small order statistics. In this paper, we explore a complex network…
Connecting Network Science and Information Theory
Henrique F. de Arruda, Filipi N. Silva, Cesar H. Comin +2
A framework integrating information theory and network science is proposed, giving rise to a potentially new area. By incorporating and integrating concepts such as complexity, cod…
On the role of words in the network structure of texts: application to authorship attribution
Camilo Akimushkin, Diego R. Amancio, Osvaldo N. Oliveira
Well-established automatic analyses of texts mainly consider frequencies of linguistic units, e.g. letters, words and bigrams, while methods based on co-occurrence networks conside…