Realistic complex systems are often represented as networks of interacting nodes. To this end the graph and complex networks theory is usually applied. The basic notions for graphs and networks are recalled, in particular the scale free distribution of interconnections among nodes. The special role of these interconnections in complex physical systems is also reminded. Correlation matrices of large number of FOREX time series are constructed. The triangle effect is shown to distinguish the currency and equity markets reducing the number of independent returns (time series) by one. The basic properties of correlation matrices are also listed. The Minimum Spanning Trees for correlation coefficients are constructed using the Mantegna algorithm. The rule of the choice of the base currency is explained. Finally we show the scale free (power like) behavior of the degree distribution of the Mantegna graphs for various base currencies.

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