Centrality informed embedding of networks for temporal feature extraction

• Main Authors: Oggier, Frédérique, Datta, Anwitaman
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Mathematics; Engineering::Computer science and engineering; Social Network Dynamics; Time Series of Graphs; Centrality
• Online Access: https://hdl.handle.net/10356/154815
• Institution: Nanyang Technological University

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...