68 citations · 323 across the 24 of their papers we have counts for
25 papers
Interrelating Fruchterman-Reingold Graph Visualization and Agglomerative Clustering
Alexandre Benatti, Luciano da F. Costa
Graph visualization methods and agglomerative clustering have been frequently considered in data analysis and pattern recognition. Because these approaches are interrelated and com…
Non-Supervised Community Detection and Hierarchical Modularity Estimation in Complex Networks
Alexandre Benatti, Luciano da F. Costa
This work extends to complex networks a recently described methodology (A. Benatti and L. da F Costa, Detecting Hierarchical Clusters and Estimating their Modularity Directly from…
Detecting Hierarchical Clusters and Estimating their Modularity Directly from Dendrograms
Alexandre Benatti, Luciano da F. Costa
Identifying possible clusters in datasets and estimating their hierarchical modularity are central tasks in pattern recognition. In the present work, concepts and methodologies are…
Agglomerative Clustering in Uniform and Proportional Feature Spaces
Alexandre Benatti, Luciano da F. Costa
Pattern comparison represents a fundamental and crucial aspect of scientific modeling, artificial intelligence, and pattern recognition. Three main approaches have typically been a…
Cross-Relation Characterization of Knowledge Networks
Eric K. Tokuda, Renaud Lambiotte, Luciano da F. Costa
Knowledge networks have become increasingly important as a changing repository of data which can be represented, studied and modeled by using complex networks concepts and methodol…
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…
Neuromorphic Networks as Revealed by Features Similarity
Alexandre Benatti, Henrique F. de Arruda, Luciano da F. Costa
The study of neuronal morphology is important not only for its potential relationship with neuronal dynamics, but also as a means to classify diverse types of cells and compare tha…
A Similarity Approach to Cities and Features
Luciano da F. Costa, Eric K. Tokuda
Characterizing the structure of cities constitutes an important task since the identification of similar cities can promote sharing of respective experiences. In the present work,…
A Markov chain for metapopulations of small sizes with attraction landscape
Paulo C. Ventura, Eric K. Tokuda, Luciano da F. Costa +1
Mathematical models represent one of the fundamental ways of studying nature. In special, epidemic models have shown to be particularly useful in the understanding of the course of…
Multiset Neurons
Luciano da F. Costa
The present work reports a comparative performance of artificial neurons obtained in terms of the real-valued Jaccard and coincidence similarity indices and respectively derived fu…
Spatial distribution of graffiti: A complex network approach
Eric K. Tokuda, Henrique F. de Arruda, Cesar H. Comin +3
Despite the great differences among cities, they face similar challenges regarding social inequality, politics and criminality. Urban art express these feelings from the citizen po…
On Hypercomplex Networks
Éverton F. da Cunha, Luciano da F. Costa
The concept of 'complexity' plays a central role in complex network science. Traditionally, this term has been taken to express heterogeneity of the node degrees of a therefore com…
Cost-Based Approach to Complexity: A Common Denominator?
Luciano da F. Costa, Guilherme S. Domingues
Complexity remains one of the central challenges in science and technology. Although several approaches at defining and/or quantifying complexity have been proposed, at some point…
Topological characterization of world cities
Guilherme S. Domingues, Filipi N. Silva, Cesar H. Comin +1
The topological organization of several world cities are studied according to respective representations by complex networks. As a first step, the city maps are processed by a rece…
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…
Rumor propagation with heterogeneous transmission in social networks
Didier A. Vega-Oliveros, Luciano da F. Costa, Francisco A. Rodrigues
Rumor models consider that information transmission occurs with the same probability between each pair of nodes. However, this assumption is not observed in social networks, which…
Topic segmentation via community detection in complex networks
Henrique F. de Arruda, Luciano da F. Costa, Diego R. Amancio
Many real systems have been modelled in terms of network concepts, and written texts are a particular example of information networks. In recent years, the use of network methods t…
Classifying informative and imaginative prose using complex networks
Henrique F. de Arruda, Luciano da F. Costa, Diego R. Amancio
Statistical methods have been widely employed in recent years to grasp many language properties. The application of such techniques have allowed an improvement of several linguisti…
Topological-collaborative approach for disambiguating authors' names in collaborative networks
Diego R. Amancio, Osvaldo N. Oliveira, Luciano da F. Costa
Concepts and methods of complex networks have been employed to uncover patterns in a myriad of complex systems. Unfortunately, the relevance and significance of these patterns stro…
Random walks in directed modular networks
Cesar H. Comin, Matheus P. Viana, Lucas Antiqueira +1
Because diffusion typically involves symmetric interactions, scant attention has been focused on studying asymmetric cases. However, important networked systems underlain by diffus…
Epidemics in Networks of Spatially Correlated Three-dimensional Root Branching Structures
T. P. Handford, F. -J. Perez-Reche, S. N. Taraskin +4
Using digitized images of the three-dimensional, branching structures for root systems of bean seedlings, together with analytical and numerical methods that map a common 'SIR' epi…
Good practices for a literature survey are not followed by authors while preparing scientific manuscripts
D. R. Amancio, M. G. V. Nunes, O. N. Oliveira +1
The number of citations received by authors in scientific journals has become a major parameter to assess individual researchers and the journals themselves through the impact fact…
Complexity and anisotropy in host morphology make populations safer against epidemic outbreaks
Francisco J. Perez-Reche, Sergei N. Taraskin, Luciano da F. Costa +2
One of the challenges in epidemiology is to account for the complex morphological structure of hosts such as plant roots, crop fields, farms, cells, animal habitats and social netw…
Knowledge Acquisition by Networks of Interacting Agents in the Presence of Observation Errors
J. B. Batista, L. da F. Costa
In this work we investigate knowledge acquisition as performed by multiple agents interacting as they infer, under the presence of observation errors, respective models of a comple…