A system and method for creating a network from a number of nodes and edges, where each node is assigned data from at least one data source, the data of a data source being changeable, and wherein the data assigned to a node describe single forecasts from a prediction market, the method comprising structuring the data according to a predefined taxonomy, performing a pattern recognition within data assigned to at least two nodes, whereby the pattern recognition determines and analyzes at least two sequences of patterns of changes, comparing the sequences of patterns and deriving a correlation between the sequences of patterns from the comparison result, wherein the correlation defines the dependency between the nodes; and storing the sequences of patterns and the dependency in a pattern database, whereby the dependency forms an edge between the nodes.