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To enable repeatability of experiments, this collection of files contains the source code for all methods presented in the following paper: O.Kostakis, N.Tatti, A.Gionis, 'Discovering recurring activity in temporal networks', Data Mining and Knowledge Discovery, 2017. The methods are implemented in Java. To compile and build the code, we propose importing the files into Eclipse. Datasets are also available here: https://doi.org/10.5281/zenodo.160509 Disclaimer: The code is provided as is, with no guarantee.
Temporal networks, Sports analytics
Temporal networks, Sports analytics
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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