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A biased edge enhancement method for truss-based community search

  • Yuqi Li,
  • Tao Meng,
  • Zhixiong He,
  • Haiyan Liu,
  • Keqin Li

摘要

Most truss-based community search methods are usually confronted with the fragmentation issue. We propose a Biased edge Enhancement method for Truss-based Community Search (BETCS) to address the issue. This paper mainly solves the fragmentation problem in truss community query through data enhancement. In future work, we will consider applying the methods in the text to directed graphs or dynamic graphs.