Temporal mining of workplace network connections

This research proposes a novel temporal mathematical method of calculating the added value of an influential individual in a network, called a 'team player', who adds indirect value to their organisation because they drastically improve the future workplace task performance of those with whom they work. Our process uses temporal mining of employee connectivity data where connections are made between co-workers as they work together on an organisational task. The process we describe is based on mathematically-proven algorithms and can be applied to any organisation where employees' project work and performance is tracked. Our application views employees as network points and their joint work on a series of organisational tasks as the links that connect those employees. We use one of the largest online and open data sources containing many years of employee joint task work to apply our proposed algorithm and produce quantitative results.