Network structure of phonographic market with characteristic similarities between musicians

We investigate relations between best selling artists in last decade on phonographic market and from perspective of listeners by using the Social Network Analyzes. Starting network is obtained from the matrix of correlations between the world's best selling artists by considering the synchronous time evolution of weekly record sales. This method reveals the structure of phonographic market, but we claim that it has no impact on people who see relationship between artists and music genres. We compare 'sale' (based on correlation of record sales) or 'popularity' (based on data mining of the record charts) networks with 'similarity' (obtained mainly from survey within music experts opinion) and find no significant relations. We postulate that non-laminar phenomena on this specific market introduce turbulence to how people view relations of artists.Comment: 15

Hierarchical representation of socio-economic complex systems according to minimal spanning trees and diagrams

We investigate hierarchical structure in various complex systems according to Minimum Spanning Tree methods. Firstly, we investigate stock markets where the graph is obtained from the matrix of correlation coefficients computed between all pairs of assets by considering the synchronous time evolution of the difference of the logarithm of daily stock price. The hierarchical tree provides information useful to investigate the number and nature of economic factors that are associated in a meaningful economic taxonomy. We extend this method on other financial markets – money exchange (FOREX) and commodity – phonographic market (where we have artists instead of stocks) and get information on which music genre is meaningful according to customers. We continue to use this method in social systems (sport, political parties and pharmacy) to investigate collective effects and detect how a single element of a system influences the other ones. The level of correlations and Minimum Spanning Trees in various complex systems is also discussed