An information processing system for rating or ranking individual users as thought leaders and influencers, the information processing system comprising:
- a memory;
- a processor communicatively coupled to the memory;
- and
- a rating and ranking module communicatively coupled to the memory and the processor, wherein the rating and ranking module is configured to perform a method comprising
- obtaining at least one information from a user,
- identifying, based on the information obtained, at least one third-party source of additional information;
- obtaining at least one information from a third-party database,
- wherein the information comprises at least one user-created content, data related to one of a user-created content, data related to a user role, and data related to a user;
- curating a plurality of user-related content;
- executing a rating and ranking algorithm as a function of, in part, the information, wherein each of a plurality of users is rated as a separate executable instance to generate a rating for each of the plurality of users as a score for that user;
- verifying the authenticity of at least one information via a block-chain ledger;
- calculating a score for at least a functional domain;
- calculating a score for at least a role-based or persona-based domain;
- analyzing the rating of each of the plurality of users;
- ranking each of the plurality of users relative to each other user;
- directing the storage of the information, the score, and the ranking for each user in an information repository;
- sending displayable data related to a plurality of ranked users to at least a first system for user input/output, whereby the first system for user input/output displays the displayable data displays the displayable data for a user;
- a thought leader accessing an interactive website;
- the thought leader logging into the system;
- when the thought leader accesses the system for the first time, the thought leader registering with the system;
- storing the submitted information in a database, the information being stored along with information and meta-data pertaining to the source of the submission into an information repository;
- calculating a score in which the thought leader rating and ranking algorithm calculates an aggregate score, at least one role-based or persona-based score, and at least one functional domain score for the thought leader;
- normalizing the score, whereby the thought leader rating and ranking algorithm normalizes the score of the thought leader by dividing each overall, role-based and functional domain score by those of the corresponding highest scoring thought leader in the information repository;
- updating the information repository with newly calculated scores via the interactive website;
- and
- displaying a profile, in which the interactive website displays at least one score.