Cryptocurrency Market Structure: Connecting Emotions And Economics
A summary of the final results for the major currencies is reported in Table 1. Note that in the price network these important cryptocurrencies have high degrees between 800 and 900 ranking in the prime 10% of highly connected nodes being, hence, hubs inside the connected element. I investigated the Kendall cross correlations in between log variation of positive sentiment volume and log variations of value. From now on I think about only constructive volume sentiment. These weighted measures, computed over the validated networks, are reported in Fig. 3. One can observe that for the closeness the relative ranking of the five significant cryptocurrencies is equivalent to the ones observed for the degree distribution conversely the betweenness-centrality places all important cryptocurrencies into medium/peripheral rankings. To much better recognize the relative positioning within the cryptocurrency marketplace also with respect to the weighting of the correlations, I computed closeness and centrality distributions. This choice is to simplify computation and description of the final results. The diagonal components of this matrix are the correlations amongst optimistic sentiment and price tag for every single currency.
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