Patent Document ID: 9069880
Application ID: 13421905
Patent Status: 1

Claim One:
1. A method comprising: receiving a data seed for use in identifying a trend across data in a network-based environment; extracting a Q-entity from the data seed; obtaining additional Q-entities based on the Q-entity extracted from the data seed, wherein a subsequent data seed is utilized to obtain the additional Q-entities, the subsequent data seed comprising a web page to which each of a plurality of hyperlinks redirect a web browser; analyzing each 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 one of the Q-entities 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 in the relational graph model to determine clustering patterns that signify relational ties between Q-entities that are used to identify the trend, wherein the trend is identified according to an expression: _ ⁢ trend = ∑ t = - ∞ ∞ ⁢ ( ( ∑ d = 1 3 ⁢ ( ∑ k = 1 3 ⁢ ( F ⁢ ⁢ C ⁢ ⁢ M ) ) ) Δ ⁢ ⁢ t ) where t is a time ranging from negative infinity to infinity with 0 being a time of origin, d is a value assigned to the at least one Q-dimension with which the Q-entity is associated, and k is a value assigned to the at least one Q-cluster with which the Q-entity is associated, and wherein the value of d is a number from one to three assigned to the at least one Q-dimension, and wherein the value of k is a number from one to three assigned to the at least one Q-cluster.