Cannibalism in medical topic networks

  title={Cannibalism in medical topic networks},
  author={Suhyun Chae and Aviv Segev and Uichin Lee},
  journal={Knowl.-Based Syst.},
Analyzing research activities over time can give insight into the research trend and knowledge structure of a domain. Research publication activity of a topic can be measured by a network of keyword terms and their relations in the specific area. The paper analyzes medical topic networks to interpret how clusters and keyword terms change over time.