A combined network and machine learning approaches for product market forecasting Jingfang Fan,1, 2, ∗ Keren Cohen,3 Louis M. Shekhtman,1 Sibo Liu,4 Jun Meng,1, 2 Yoram Louzoun,3, † and Shlomo Havlin1 arXiv:1811.10273v1 [physics.soc-ph] 26 Nov 2018 1...
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A combined network and machine learning approaches for product market forecasting Jingfang Fan,1, 2, ∗ Keren Cohen,3 Louis M. Shekhtman,1 Sibo Liu,4 Jun Meng,1, 2 Yoram Louzoun,3, † and Shlomo Havlin1 arXiv:1811.10273v1 [physics.soc-ph] 26 Nov 2018 1 Department of Physics, Bar Ilan University, Ramat Gan 52900, Israel 2 Potsdam Institute for Climate Impact Research, Potsdam 14412, Germany 3 Department of Mathematics, Bar Ilan University, Ramat Gan 52900, Israel 4 Department of Economics, Lingnan University, Tuen Mun, Hong Kong (Dated: November 27, 2018) Abstract Sustainable financial markets play an important role in the functioning of human society. Still, the de- tection and prediction of risk in financial markets remain challenging and draw much attention from the scientific community. Here we develop a new approach based on combined network theory and machine learning to study the structure and operations of financial product markets. Our network links are based on the similarity of
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