1. A method comprising: receiving a data seed for use in identifying a trend in a network-based environment; extracting a Q-entity from the data seed; analyzing the Q-entity to determine when the Q-entity belongs to more than one dimension; analyzing, using a relational graph model having at least one Q-dimension having at least one Q-cluster, the Q-entity effective to associate the Q-entity with the at least one Q-cluster and the at least one Q-dimension of the relational graph; and identifying, based on a frequency analysis of the Q-cluster, the trend.