Workload-centrality analysis and visualization of workflow-supported social networks

This paper focuses on analyzing workload-centralities of 'workflow-supported social networks', which are discovered from workflow models or workflow packages, and on visualizing the analyzed results. The workflow-supported social network has been known as organizational intelligence knowledge implying the degree of workload and work-intimacy among employees, and in general it can be analyzed by two kinds of workload-centrality techniques, actor-degree and group-degree workload-centralities. The paper, so, implements a workload-centrality analysis tool to gracefully visualize the analyzed results, and additionally extends the functional equations of the workload-centralities to incrementally accommodate a number of workflow-supported social networks discovered from the whole workflow models and packages running under a workflow-supported organization. © 2013 ICIC International.