Centrality informed embedding of networks for temporal feature extraction
We propose a two-step methodology for exploring the tem- poral characteristics of a network. First, we construct a graph time series, where each snapshot is the result of a temporal whole-graph embedding. The embedding is carried out using the degree, Katz and betweenness centralities to charact...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/154815 |
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| Institution: | Nanyang Technological University |
| Language: | English |