An efficient procedure for mining egocentric temporal motifs
Crossref DOI link: https://doi.org/10.1007/s10618-021-00803-2
Published Online: 2021-11-12
Published Print: 2022-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Longa, Antonio http://orcid.org/0000-0003-0337-1838
Cencetti, Giulia
Lepri, Bruno
Passerini, Andrea
Funding for this research was provided by:
Università degli Studi di Trento
Text and Data Mining valid from 2021-11-12
Version of Record valid from 2021-11-12
Article History
Received: 23 January 2021
Accepted: 30 September 2021
First Online: 12 November 2021