Abstract: A method and system for transforming communication metadata and sensor data into an objective measure of the participant communication distribution of an organization is disclosed. Embodiments of the present disclosure enable the capturing communication data from phone, email, or other virtual means of communication to develop a complete objective model of a human network. Metadata is extracted from the captured communication data and the extracted communication metadata is analyzed by (i) calculating time spent on each activity or interaction (e.g., email, meeting, call, chat, conversation) for each participant; (ii) prioritizing activities and interactions for each participant; and (iii) building a pairwise adjacency matrix based on the attention time each participant spent communicating with each other participant. Based on the pairwise adjacency matrix, a visualization may be created illustrating the communication distribution of the participants throughout the organization.

Abstract: method and system for transforming communication metadata and sensor data into an objective measure of the participant communication distribution of an organization is disclosed. Embodiments of the present disclosure enable the capturing communication data from phone, email, or other virtual means of communication to develop a complete objective model of a human network. Metadata is extracted from the captured communication data and the extracted communication metadata is analyzed by (i) calculating time spent on each activity or interaction (e.g., email, meeting, call, chat, conversation) for each participant; (ii) prioritizing activities and interactions for each participant; and (iii) building a pairwise adjacency matrix based on the attention time each participant spent communicating with each other participant. Based on the pairwise adjacency matrix, a visualization may be created illustrating the communication distribution of the participants throughout the organization.