The present invention concerns methods and apparatus for perturbing a known contextualization of an underlying proposition adopted by a group of subjects that are considered in a quantum representation. Initially, the subjects belonging to the group exhibit the known contextualization modulo the proposition and also have known measurable indications in the known contextualization. Perturbation is due to injection into the group of a disruptive subject that exhibits a Fermi-Dirac (F-D) anti-consensus statistic modulo the underlying proposition. A monitoring unit and a statistics module are deployed to collect and study subsequent measurable indications from subjects in the group after injection of the disruptive subject and upon re-confronting of the underlying proposition. The perturbation is thus detected and changes in the quantum representation due to it are estimated.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for perturbing a known contextualization of an underlying proposition comprising: a) selecting by a mapping module a group of at least one subject exhibiting said known contextualization and a known measurable indication in said known contextualization; b) assigning by an assignment module a subject value matrix PRV used by said group in said known contextualization, where an eigenvalue of said subject value matrix PRV corresponds to said known measurable indication; c) injecting into said group a subject exhibiting an anti-consensus statistic modulo said underlying proposition; d) collecting by a network monitoring unit at least one subsequent measurable indication from said group after said step of injecting and upon re-confronting said underlying proposition. 2. The computer implemented method of claim 1, further comprising the step of detecting by a statistics module a perturbation to said known contextualization of said underlying proposition by said group through comparing said known measurable indication with said at least one subsequent measurable indication. 3. The computer implemented method of claim 2, further comprising estimating by said statistics module a change in a quantum representation of said group due to said perturbation. 4. The computer implemented method of claim 3, wherein said quantum representation comprises a density matrix. 5. The computer implemented method of claim 3, wherein said step of estimating further includes presenting at least one additional proposition to said group. 6. The computer implemented method of claim 5, wherein said at least one additional proposition is chosen to be incompatible with said underlying proposition such that it induces in said group a secondary subject value matrix PRSV that does not commute with said subject value matrix PRV. 7. The computer implemented method of claim 1, wherein said subject exhibiting said anti-consensus statistic modulo said underlying proposition is exposed said group within a network. 8. The computer implemented method of claim 1, wherein said subject exhibiting said anti-consensus statistic modulo said underlying proposition is exposed to said group in real life. 9. The computer implemented method of claim 1, wherein said underlying proposition is about an item selected from the group consisting of a subject, an object and an experience. 10. A computer system for detecting a perturbation to a known contextualization of an underlying proposition, said computer system comprising: a) a mapping module for selecting a group of at least one subject exhibiting said known contextualization and a known measurable indication in said known contextualization; b) an assignment module for assigning a subject value matrix PRV used by said group in said known contextualization, where an eigenvalue of said subject value matrix PRV corresponds to said known measurable indication; c) a subject exhibiting an anti-consensus statistic modulo said underlying proposition; d) a network monitoring unit for collecting at least one subsequent measurable indication in response to said underlying proposition from said group after said subject exhibiting said anti-consensus statistic is injected into said group. 11. The computer system of claim 10, further comprising a statistics module for detecting said perturbation to said known contextualization of said underlying proposition by said group through comparing said known measurable indication with said at least one subsequent measurable indication. 12. The computer system of claim 10, wherein said subject exhibiting said anti-consensus statistic modulo said underlying proposition is selected from a set of leaders recognized by said group. 13. The computer system of claim 12, wherein said set of leaders is selected from the group consisting of sports figures, celebrities, media personages, opinion leaders, thought leaders, market leaders, political leaders and spiritual leaders. 14. The computer system of claim 10 further comprising a network and wherein said subject exhibiting an anti-consensus statistic modulo said underlying proposition is exposed to said group within said network. 15. The computer system of claim 14, wherein said network is selected from the group consisting of the Internet, the World Wide Web, a Wide Area Network (WAN) and a Local Area Network (LAN). 16. The computer system of claim 14, wherein said group comprises members of a social group. 17. The computer system of claim 16, wherein said social group is selected from any one or more of the group of social networks consisting of Facebook, LinkedIn, Google+, MySpace, Instagram, Tumblr, YouTube. 18. The computer system of claim 16, wherein said social group manifests an affiliation with one or more product sites selected from the group consisting of Amazon.com, Walmart.com, bestbuy.com, Groupon.com, Netflix.com, iTunes, Pandora and Spotify. 19. The computer system of claim 10, wherein said underling proposition is about an item selected from the group consisting of a subject, an object and an experience.