Abstract: A system and method for extracting and managing latent social networks is described. The system generally comprises a network modeling component, a digital information component coupled to the network modeling component, and at least one third party computer system coupled to the network modeling component over a first network. The method operates to process user data to identify and extract at least one latent social network, and identify user needs within the network. The method also allows communications between a first entity (such as a brand or advertiser) and the user, such that information relating to the identified user needs may be delivered directly to the user.

Abstract: A system and method for extracting and managing latent social networks is described. The system generally comprises a network modeling component, a digital information component coupled to the network modeling component, and at least one third party computer system coupled to the network modeling component over a first network. The method operates to process user data to identify and extract at least one latent social network, and identify user needs within the network. The method also allows communications between a first entity (such as a brand or advertiser) and the user, such that information relating to the identified user needs may be delivered directly to the user.

Abstract: A system and method for modeling networks by auto-generation. The system generally comprises methods and systems for enabling the extraction, management and merging of models of networks and creating models of networks that can dynamically respond to changing context and computer requirements. The method includes ways of creating network models, maintaining n-dimensional graphs of networks; using adaptive and evolutionary algorithms for result emergence, using training and feedback to tune adaptive algorithms for solution optimization, and transformation of results into ontological and or data models.