Abstract: A system and method for inferring social influence networks from transactional data are provided. Raw transactional data having transaction entries reflecting customer transactions is provided to a processor and translated into internal data. Computer nodes within the system draw a number of randomized samples from the internal data based on a sample number and sample size determined by the processor to promote computational efficiency and accuracy. The computer nodes create a social influence network having links therein representing inferred customer-to-customer purchasing influence. The processor aggregates the social influence network of each sample to create a global social influence network that evidences the purchasing influence of customers within the raw transactional data. The processor may assign a social influence value to customers represented within the raw transactional data by analyzing the global social influence network.