Metapath-Guided Credit Allocation for Identifying Representative Works

The ability to identify the representative works of a researcher has important implications in a wide range of areas, including hiring, funding, and promotion systems. In this paper, we propose a metapath-guided credit allocation method (MGCA) for identifying the representative works of individual researchers. MGCA utilizes metapath-guided neighbours to exploit rich semantic information in heterogeneous information network for locating a...