Patent ID: 8909569

Claim:
A method for revealing correlations in data signals, the method comprising: automatically importing a first data stream comprising a first series of the data signals from conversations occurred within one or more social networks; importing a second data stream comprising a second series of the data signals from a user selected data source, wherein each of the data streams includes a plurality of attributes which categorize a corresponding data stream's total volume; responsive to a selection of one or more attributes of a respective data stream, displaying, on a user interface, the data signals which correspond to the selected attributes using a two-dimensional plot; determining correlations between the data streams based on calculating a correlation score for each correlation between (1) each selected attribute in the first data stream and (2) each selected attribute in the second data stream; displaying, on the user interface, correlation scores adjacent to their respective attributes; based on the correlation, employing a predictive algorithm to predict a future trend of the second series of data signals in the second data stream; and verifying the prediction by comparing the predicted future trend with real data signals as the real data signals arrive from the second data stream.