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A framework for second-order eigenvector centralities and clustering coefficients
We propose and analyse a general tensor-based framework for incorporating second-order features into network measures. This approach allows us to combine traditional pairwise links with information that records whether triples of nodes are involved in wedges or triangles. Our treatment covers classi...
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| Publicado no: | Proc Math Phys Eng Sci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7209141/ https://ncbi.nlm.nih.gov/pubmed/32398932 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0724 |
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