Temporal Katz centrality - data sets

    Temporal Katz centrality is a centrality measure updateable by the edge stream in a dynamic network. It incorporates the elapsed time of edge activations as time decay.

    You can find details about this research on GitHub:
    https://github.com/ferencberes/online-centrality

    We collected tweets for US Open 2017 (UO17) and Roland-Garros 2017 (RG17) tennis championships. The datasets contain the mentions between Twitter users as well as the accounts of tennis players who participated in this contest. The event schedules were downloaded from the official event websites.

    We also uploaded the small data sets of Polina Rozenshtein and Aristides Gionis. We compared Online Centrality (our model) with their dynamic centrality measure Temporal PageRank.