Community discovery in networks with deep sparse filtering

Yu Xie, Maoguo Gong, Shanfeng Wang, Bin Yu

Abstract: 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.