An Improved Node Ranking for Label Propagation and Modularity based Clustering
Alessandro Berti

TL;DR
This paper explores non-spectral clustering methods, emphasizing node ordering by centrality measures to enhance community detection quality and proposing an improvement that further increases modularity.
Contribution
It introduces a novel node ranking approach based on centrality measures and an enhancement to existing clustering techniques to improve modularity.
Findings
Node ordering improves community detection quality
The proposed method increases modularity scores
Enhanced techniques outperform traditional methods
Abstract
In this paper I'll speak about non-spectral clustering techniques and see how a node ordering based on centrality measures can improve the quality of communities detected. I'll also discuss an improvement to existing techniques, which further improves modularity.
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Taxonomy
TopicsComplex Network Analysis Techniques · Text and Document Classification Technologies · Data Management and Algorithms
