6 papers
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…
A Systematic Approach for Studying How Topological Measurements Respond to Complex Networks Modifications
Alexandre Benatti, Roberto M. Cesar, Luciano da F. Costa
Different types of graphs and complex networks have been characterized, analyzed, and modeled based on measurements of their respective topology. However, the available networks ma…
Random Walks Performed by Topologically-Specific Agents on Complex Networks
Alexandre Benatti, Luciano da F. Costa
Random walks by single-node agents have been systematically conducted on various types of complex networks in order to investigate how their topologies can affect the dynamics of t…
Partially Proportional and Adaptive Similarity Indices
Alexandre Benatti, Luciano da F. Costa
A good deal of science and technology concepts and methods rely on comparing and relating entities in quantitative terms. Among the several possible approaches, similarity indices…
An Analytical Approach to the Jaccard Similarity Index
Gonzalo Travieso, Alexandre Benatti, Luciano da F. Costa
The Jaccard similarity index has often been employed in science and technology as a means to quantify the similarity between two sets. When modified to operate on real-valued value…