Microsoft Technology Licensing, LLC

Tannaz Sattari Tabrizi

Neha Parikh Shah

Aaron James Harrison

Amit Prem Manghani

Vindana Madhuwantha

Sunil Kumar

Sanjay H Ramaswamy

Dheepak Ramaswamy

Sreeram Nivarthi

Aleksey Ashikhmin

Umashree Narayanaswamy

Amol Dattatray Dhaygude

Apurva Bharatkumar Shah

Jagadeesh Virupaksha Huliyar

V S Srujana Oruganti

Marilyn Nicole Harris

Ritu Lakhotia

Ganesh Jaiswal

Siddarth Rajendra Kumar

Vishnu Gajendran

Navid Ahmed Tahiri

Sai Sumana Pagidipalli

Nishtha Mehrotra

Diego Fernando Suarez Castillo

Carlos Andres Morales Torrado

Pramod Dhandapani

Sida Peng

Andrei Catalin Zlati

Nimesh Ravindra Desai

A system and method for configuring an application is described. The system identifies user collaboration data of users of an application. The user collaboration data indicates durations of collaborations between one or more users using the application. The system computes an influencer score of a first user based on the duration of collaborations between the first user and the other users. The system determines that the influencer score of the first user exceeds an influencer score threshold and generates a configuration setting of the application for the first user. The system applies the configuration setting to the application for the first user.

Adoption content propagation based on user collaboration data

A system and method for validating user profile data from a directory application is described. The system accesses user collaboration data of a plurality of users of an application. The system also accesses a directory application that manages user profile data for each user of the plurality of users. A set of heuristics is applied on the user profile data. The system validates results of the applied set of heuristics on the user profile data with the user collaboration data. The quality of the user profile data is assessed based on the validation.

Assessing quality of an active directory

A method may include presenting a graphical user interface (GUI) configured to define a network for analysis, the GUI including: a first portion configured to define a network boundary of an organizational network graph (ONG) in a dataset; a second portion configured to define a beginning time and ending time for the network analysis; and a third portion configured to define a set of one or more graph metrics for vertices in the ONG; retrieving a portion of the dataset based on the network boundary, beginning time, and ending time; transmitting instructions to a distributed computing platform to generate the set of graph metrics on the portion of the dataset; and storing the generated set of graph metrics as associated with the network analysis.

System for offline processing of organizational networks

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Tannaz Sattari Tabrizi