Device, system, and method for determining content relevance through ranked indexes

A non-transitory computer-readable medium for remotely identifying and retrieving at least one content article from a computer network, determining and ranking said content article based on relevance within the computer network, and generating a searchable database of ranked content;

• the medium comprising stored instructions that when executed by at least one processor, perform the following steps:
• a. remotely searching for, identifying, and indexing at least one social profile comprising one social indicator, the social profile being stored in a database of the computer;
• b. assigning the at least one social profile to a known user within the network;
• c. categorizing, indexing, and graphing at least one interest and at least one area of knowledge associated with the known user and storing the interest and area of knowledge with the social profile;
• d. estimating and assigning an expertise value and an insider knowledge value to the known user and storing the interest and area of knowledge with the social profile;
• e. generating at least one meta profile within the database and assigned to the known user, the meta profile comprising the expertise value, the insider knowledge value, the at least one interest, the at least one area of knowledge, and the social profile;
• f. generating an index in the database comprising an entry for at least one topic, identifying at least one content article associated with the topic, and identifying at least one meta profile within the database associated with the content article;
• g. generating an expertise weight indicator assigned to the content article;
• h. generating a content total score indicator based on the number of meta profiles within the database associated with the content article and the expertise weight indicator, the content total score indicator being assigned to the content article within the database;
• and
• i. generating a list of at least one content article within the database, with the list configured with a ranking order based on content total score.

A system for determining relevancy of content articles within a given computer network or subnetwork, comprising:

• a. a processor that remotely searches and identifies at least one user by collecting, indexing, and generating a database comprising at least one social profile within the network;
• b. a first memory configured to store the at least one social profile;
• c. wherein the processor further generates a database comprising at least one meta profile by parsing discussions and actions taken by at least one user within the network and identifying at least one stored social profile associated with the user;
• d. a second memory configured to store the at least one meta profile;
• e. wherein the processor further updates the at least one meta profile by searching the network, identifying at least one content article, and assigning the content article to an associated meta profile;
• f. wherein the processor further assigns a ranking order to the at least one meta profile by calculating and assigning at least one indicator value to the meta profile, the indicator value being based on at least one of the following:
• interactions with other users within the computer network, association with at least one other already-ranked meta profile, at least one identified characteristic of an associated social profile or meta profile, or at least one identified characteristic of an associated user;
• g. wherein the processor further generates search results based on user-implemented search queries and the ranking-order of the at least one meta profile;
• and
• h. wherein the processor further updates the database based on ranking order, newly collected data from the network, and at least one user-implemented search query.