Community discovery in networks with deep sparse filtering

作者：

Highlights：

• A new method for network community discovery based on deep sparse filtering is first presented.

• We make full use of the network topology and choose four matrix forms to represent a network graph respectively.

• A proper constraint is put forward for the purpose of making the proposed algorithm learn more efficient features for community discovery.

摘要

•A new method for network community discovery based on deep sparse filtering is first presented.•We make full use of the network topology and choose four matrix forms to represent a network graph respectively.•A proper constraint is put forward for the purpose of making the proposed algorithm learn more efficient features for community discovery.

论文关键词：Community discovery,Sparse filtering,Deep learning,Network representation

论文评审过程：Received 8 April 2017, Revised 8 December 2017, Accepted 27 March 2018, Available online 27 March 2018, Version of Record 5 April 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.03.026