Cryptocurrency Market Structure: Connecting Emotions And Economics

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A summary of the results for the big currencies is reported in Table 1. Note that in the value network these key cryptocurrencies have high degrees among 800 and 900 ranking in the best 10% of extremely connected nodes getting, thus, hubs inside the connected element. I investigated the Kendall cross correlations among log variation of good sentiment volume and log variations of cost. From now on I consider only optimistic volume sentiment. These weighted measures, computed more than the validated networks, are reported in Fig. 3. One can observe that for the closeness the relative ranking of the 5 important cryptocurrencies is related to the ones observed for the degree distribution conversely the betweenness-centrality areas all significant cryptocurrencies into medium/peripheral rankings. To much better have an understanding of the relative positioning inside the cryptocurrency market place also with respect to the weighting of the correlations, I computed closeness and centrality distributions. This decision is to simplify computation and description of the final results. The diagonal components of this matrix are the correlations amongst good sentiment and value for every currency.

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