Portrait comparison of binary and weighted Skill Relatedness Networks
By Sergio Andrés De Raco, Viktoriya Semeshenko
Rating
1161
Battle Count: 186
Relevance
3/10
While not directly applicable to trading, the network analysis methods could potentially be adapted for studying financial market interconnectedness
Implementation Complexity
6/10
Requires understanding of network science concepts and implementation of network portrait divergence algorithm
Reproducibility
3/5
Data sources and methodology are described, but code is not provided
About this paper
Methodology: Network Portrait Divergence. Problem types: Network Comparison.
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