Centrality informed embedding of networks for temporal feature extraction

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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書目詳細資料
Main Authors:	Oggier, Frédérique, Datta, Anwitaman
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2022
主題:	Science::Mathematics Engineering::Computer science and engineering Social Network Dynamics Time Series of Graphs Centrality
在線閱讀:	https://hdl.handle.net/10356/154815
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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