1. A method for preference determination, comprising: retrieving, and storing in a non-transitory computer readable storage medium, profile data, preferences, and data from completed surveys of one or more survey participants; calculating base odds for one or more particular variables in profiles of the survey participants and in profiles of a general population, and stipulating attributes triggering a return of one or more predictive targeted sets; reducing the profile data, preferences, and data from completed surveys to a single index value for one or more particular keywords using a combined index calculation (CIC) method, the single index value being determined by: Index ⁡ ( B ) = Connections ⁢ ⁢ ( C , B ) ( Connections ⁢ ⁢ ( U , B ) ∑ U ) × ∑ C , where U is a set of user vertices in a social media graph, C is a subset of the user vertices that are of interest in a particular instance, Connections (C, B) is a number of connections between users in the subset C and a brand of interest B in a targeted set, and Connections (U, B) is a number of connections between users in the set U and the brand of interest B in the targeted set; placing the one or more particular variables in rank order based on the single index value to determine a likelihood of a particular user to prefer a particular item; and returning a predictive targeted set for a likelihood of one or more users in a particular set of users to prefer the particular item.