What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes

Calderon, P Rizoiu, M-A

Permalink

Recently Added

	Filename	Description	Size
	2406.03390v2.pdf	Accepted version	3.05 MB	Adobe PDF	View/Open

Copyright Clearance Process

This item is new to OPUS and is not currently available.

Full metadata record

Field	Value	Language
dc.contributor.author	Calderon, P
dc.contributor.author	Rizoiu, M-A
dc.date.accessioned	2024-07-11T00:36:35Z
dc.date.available	2024-07-11T00:36:35Z
dc.date.issued	2024-06-05
dc.identifier.citation	arXiv, 2024
dc.identifier.uri	http://hdl.handle.net/10453/179766
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes
dc.type	preprint
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	recently_added	*
dc.date.updated	2024-07-11T00:36:31Z

Please use this identifier to cite or link to this item: