# The electrostatic graph algorithm: a physics-defined method for converting a time-series into a weighted complex network

@article{Tsiotas2020TheEG, title={The electrostatic graph algorithm: a physics-defined method for converting a time-series into a weighted complex network}, author={D. Tsiotas and L. Magafas and P. Argyrakis}, journal={arXiv: Data Analysis, Statistics and Probability}, year={2020} }

This paper proposes a new method for converting a time-series into a weighted graph (complex network), which builds on the electrostatic conceptualization originating from physics. The proposed method conceptualizes a time-series as a series of stationary, electrically charged particles, on which Coulomb-like forces can be computed. This allows generating electrostatic-like graphs associated to time-series that, additionally to the existing transformations, can be also weighted and sometimes… Expand

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