ExEm: Expert embedding using dominating set theory with deep learning approaches

作者：

Highlights：

• A novel graph embedding using dominating-set theory and deep learning is proposed.

• A strategy to calculate experts’ scores based on expert embeddings is proposed.

• We present data for a co-author network by crawling author profiles from Scopus.

摘要

•A novel graph embedding using dominating-set theory and deep learning is proposed.•A strategy to calculate experts’ scores based on expert embeddings is proposed.•We present data for a co-author network by crawling author profiles from Scopus.

论文关键词：Social and collaborative networks,Graph embedding,Node representation,Dominating set,Expert recommendation system

论文评审过程：Received 4 February 2020, Revised 7 December 2020, Accepted 13 March 2021, Available online 19 March 2021, Version of Record 5 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114913