1. A method comprising: retrieving, by a computer processor of a computing system, first data associated with first interactions between users associated with a plurality of social networks; generating, by said computer processor based on said first data, a first graph illustrating said first interactions between said users; identifying, by said computer processor, a group of users of said users, wherein said group of users comprise first targeted users associated with a first marketing plan associated with a first social network of said plurality of social networks; first enabling, by said computer processor, said first marketing plan with respect to said users; after performing said first enabling, retrieving by said computer processor, second data associated with second interactions between said users; generating, by said computer processor based on said second data, a second graph illustrating said second interactions between said users; comparing, by said computer processor, said second graph to said first graph; generating, by said computer processor based on said comparing said first graph to said second graph, a third graph illustrating first order differences between said first interactions and said second interactions with respect to said group of users, wherein said first order differences indicate effects of said first marketing plan; analyzing, by said computer processor, said third graph; and storing, by said computer processor, results of said analyzing said third graph; determining, by said computer processor, second order differences comparing effects between said first marketing plan and a second marketing plan differing from said first marketing plan; determining, by said computer processor based on an ontology map, third order differences comparing effects between two different pairs of social network marketing plans; standardizing, by said computer processor, terminology associated with specifications of said first marketing plan, said second marketing plan, and said two different pairs of social network marketing plans; and performing, by said computer processor, an inference analysis with respect to said first marketing plan, said second marketing plan, said two different pairs of social network marketing plans, and said users, wherein said performing said inference analysis comprises: assigning unique style IDs to said first marketing plan, said second marketing plan and said two different pairs of social network marketing plans; associating nodes, representing targeted users of said users, with first specified IDs of said unique style IDs; associating a group of nodes of said nodes, representing first users of said targeted users, with final specified IDs of said first specified IDs; and defining thresholds associated with said first users.