Funding Research Community in Collaboration Network with Expertise Profiling

As a new task of expertise retrieval finding research communities for scientific guidance and research cooperation has become more and more important However the existing community discovery algorithms only consider graph structure without considering the context such as knowledge character's tics Therefore detecting research community cannot be simply addressed by direct application of existing methods In this paper we propose a hierarchical discovery strategy which rapidly locates the cow of the research community and then incrementally extends the community Especially as expanding local community it selects a node considering both its connection strength and expertise divergence to the candidate community to prevent intellectually irrelevant nodes to spill in to the current community The experiments on ACL Anthology Network show our method is effective