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 cost network these big cryptocurrencies have higher degrees between 800 and 900 ranking in the top rated 10% of hugely connected nodes becoming, thus, hubs inside the connected component. I investigated the Kendall cross correlations between log variation of positive sentiment volume and log variations of value. From now on I contemplate only optimistic volume sentiment. These weighted measures, computed over the validated networks, are reported in Fig. three. One can observe that for the closeness the relative ranking of the 5 key cryptocurrencies is equivalent to the ones observed for the degree distribution conversely the betweenness-centrality locations all big cryptocurrencies into medium/peripheral rankings. To better recognize the relative positioning inside the cryptocurrency industry also with respect to the weighting of the correlations, I computed closeness and centrality distributions. This selection is to simplify computation and description of the benefits. The diagonal elements of this matrix are the correlations between optimistic sentiment and cost for every single currency.

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