Identification of communities and their interrelations. NeoMetrics' solution allows identifying communities, as well as relationships among them, with unprecedented accuracy. Communities are then clustered by community type for further analysis of their internal dynamics. In addition, AquaSN allows distinguishing among community types depending on the types of relationships sustained by the customers therein: Professional, family, friendship, hybrid, etc.
Determination of each customer's role. Not all individuals from a community play the same role. It is necessary to identify the role each customer takes on in order to determine individual impacts on the network. Neo Metrics' solution yields this type of knowledge.
Network dynamics predictive modeling. Once communities and roles have been established, Neo Metrics' AquaSN solution applies data mining predictive modeling to perform various estimates on each customer in order to simulate the propagation effects of different actions, thereby discovering global effects within the customer network.