Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.

Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.

Abstract: The disclosure herein describes improving collaboration between users in a user network based on collaboration strength and collaboration diversity. Collaboration data associated with collaboration activity between a user network is collected. Based on the collaboration data, collaboration ties of the user accounts are identified, wherein each collaboration tie is associated with a source user account and a target user account. For each collaboration tie, a tie strength score and a tie diversity score are determined based on the collaboration data. Each collaboration tie is then classified as a strong tie or a weak tie based on a tie strength threshold and as a diverse tie or a nondiverse tie based on a tie diversity threshold. Based on analysis of the classifications of the collaboration ties, a recommended action is generated and provided via a collaboration interface, whereby the collaboration interface enables collaboration of the user network to be improved.

Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.