Extracting actionable knowledge from social networks with node attributes

作者：

Highlights：

• Introducing the extraction of actionable knowledge from social networks involving node attributes

• Formulating the action extraction process as an optimization problem

• Extracting mostly qualitative actions in terms of cost and effectiveness

• Exploiting heuristics to extract actions more efficiently.

摘要

•Introducing the extraction of actionable knowledge from social networks involving node attributes•Formulating the action extraction process as an optimization problem•Extracting mostly qualitative actions in terms of cost and effectiveness•Exploiting heuristics to extract actions more efficiently.

论文关键词：Social network,Node attribute,Actionable knowledge discovery,Action extraction,Random walk

论文评审过程：Available online 19 March 2020, Version of Record 11 April 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113382