68 citations · 323 across the 24 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…