Artificial intelligence-aided recommendation for exploratory network analysis

Abstract

Exploratory network analysis aided by an artificial intelligence recommender includes determining one or more current activities in response to detecting one or more processor-executable instructions input to a computer system by a user. A best next activity is predicted in response to matching the one or more current activities with an electronically stored pattern of activities. The predicting is performed using a machine learning model trained with knowledge components generated from patterns of past activities. A recommendation based on the best next activity is output, the recommendation recommending to the user one or more additional processor-executable instructions to input to the computer system.