18 citations · 18 across the 6 of their papers we have counts for
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cs.SI2023
Modularity-based selection of the number of slices in temporal network clustering
Patrik Seiron, Axel Lindegren, Matteo Magnani +3
A popular way to cluster a temporal network is to transform it into a sequence of networks, also called slices, where each slice corresponds to a time interval and contains the ver…
physics.soc-ph2023
Temporal link prediction methods based on behavioral synchrony
Yueran Duan, Qing Guan, Petter Holme +2
Link prediction -- to identify potential missing or spurious links in temporal network data -- has typically been based on local structures, ignoring long-term temporal effects. In…