Community Detection in On Line Social Networks is a classic feature in networked systems, from the fields of biology, economics, politics and computer science, as well. This paper describes a novel Community Detection method based on a deep learning approach, facing the challenging problems related to the dimensions of the involved data structures, and proposing a novel convolutional technique particularly useful for sparse matrices. Several experiments have been reported and discussed in real scenarios.
A deep learning based community detection approach / Sperli', G.. - 147772:(2019), pp. 1107-1110. (Intervento presentato al convegno 34th Annual ACM Symposium on Applied Computing, SAC 2019 tenutosi a cyp nel 2019) [10.1145/3297280.3297574].
A deep learning based community detection approach
Sperli' G.
2019
Abstract
Community Detection in On Line Social Networks is a classic feature in networked systems, from the fields of biology, economics, politics and computer science, as well. This paper describes a novel Community Detection method based on a deep learning approach, facing the challenging problems related to the dimensions of the involved data structures, and proposing a novel convolutional technique particularly useful for sparse matrices. Several experiments have been reported and discussed in real scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
