Recent advancements in network neuroscience are pointing in the direction of considering the brain as a small-world system with an efficient integration-segregation balance that facilitates different cognitive tasks and functions. In this context, community detection is a pivotal issue in computational ...
45and is regularly used as a benchmark for community detection algorithms. Some community detection methods are able to correctly classify all nodes into communities in large and dense networks generated by the SBM, provided that the average degree increases as the number of nodes increases...
The mathematical synonym of networks isgraphs, and in the context of graph theory, one of the mathematical formalizations of community detection isgraph partitioning. Guided by spectral graph theory29, the method of spectral graph partitioning arose by relating network properties to the spectrum of th...
In this way, not only the best distribution of nodes into communities is found, but also the ideal number of communities as well. An application to community detection of basketball players for the NBA regular season 2020–2021 is presented. The proposed methodology allows a data driven decision...
generation of brain graphs, an understanding of modularity maximization for community detection, a resource of statistical measures that can be used to characterize community structure, and an appreciation of the usefulness of these approaches in uncovering behaviorally relevant network dynamics in ...
Community structure detection is of great importance because it can help in discovering the relationship between the function and the topology structure of a network. Many community detection algorithms have been proposed, but how to incorporate the prior knowledge in the detection process remains a ch...
Self-reflection: reflect on yourself, your values, goals Self-regulation: manage your emotions, create a daily routine Love of learning: learn new skills, develop new hobbies Flow: identify activities which you enjoy and engage in them Relationships: nurture your relationships, spend time with ...
We did not analyze larger values, as they tended to result in partitions of the network into >100 communities. Finally, community detection was performed separately for each of the 163 participants with usable fMRI data and creativity scores (Fig. 1). We optimized modularity using a ...
PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res. 2007;17(11):1665-1674. doi:10.1101/gr.6861907PubMedGoogle ScholarCrossref 24. Colella S, Yau C, Taylor JM, et al. QuantiSNP: an ...
Community detection is one of the most popular researches in a variety of complex systems, ranging from biology to sociology. In recent years, there’s an increasing focus on the rapid development of more complicated networks, namely multilayer networks. Communities in a single-layer network are ...