Werecallthisresult from [4] (see Theorem 7 thereinformoredetails).

A fundamental theme throughout learning theory and statistics is that "smooth" functions ought to be

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Node centralities play a pivotal role in network science, social network analysis, and recommender systems. In temporal data, static path-based centralities like closeness or betweenness can give misleading results about the true importance of nodes in a temporal graph. To address this issue, temporal generalizations of betweenness and closeness have been defined that are based on the shortest time-respecting paths between pairs of nodes.