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We are happy to announce that all of our four contributions submitted to the premiere network science conference NetSci, which will be held in Burlington, Vermont, USA, were accepted.
In a first contribution, accepted as a talk, we present a novel method to detect anomalous paths in time series data on networks. In a second contribution, also accepted as a talk, we present a time-aware force-directed layout algorithm for temporal networks. A third contribution, accepted as a poster, will present our tool git2net, which can be used to extract temporal collaboration networks from git repositories. The last contribution, also accepted as a poster, presents an efficient algorithm to count causal paths in Big time series data on networks.
