Method, system and computer program product for automating expertise management using social and enterprise data

A computer program product comprised of software instructions on a computer-readable medium, where execution of the software instructions using a computer results in performing operations comprising:

• performing contextual association of entities using multi-source data and for each context performing co-clustering to identify distinct expert-skill associations;
• constructing single-entity unipartite graph representations and performing a random walk within each single-entity unipartite graph;
• for each single-entity unipartite graph, obtaining steady state distributions using the random walks to obtain clusters of experts and skills;
• performing a weighted two-way random walk across entity graphs (graph edges), giving preference to traversal within members of the same co-cluster;
• and
• performing link prediction for each context by dynamically adding edges, and obtaining overall skills predictions, analyses and inferences by merging the contexts and weighting the links of each context.

A system, comprised of at least one data processor connected with at least one memory that stores software instructions, where execution of the software instructions by the at least one data processor causes the system to

• perform contextual association of entities using multi-source data and, for each context, perform co-clustering to identify distinct expert-skill associations;
• construct single-entity unipartite graph representations and perform a random walk within each single-entity unipartite graph;
• for each single-entity unipartite graph, obtain steady state distributions using the random walks to obtain clusters of experts and skills;
• perform a weighted two-way random walk across entity graphs (graph edges), giving preference to traversal within members of the same co-cluster;
• and
• perform link prediction for each context by dynamically adding edges, and obtain overall skills predictions, analyses and inferences by merging the contexts and weighting the links of each context.