Interacting Spreading Processes in Multilayer Networks: A Systematic Review

Brodka, P; Musial, K; Jankowski, J

Interacting Spreading Processes in Multilayer Networks: A Systematic Review

Brodka, P

Musial, K

Jankowski, J

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Publication Type:: Journal Article
Citation:: IEEE Access, 2020, 8 pp. 10316 - 10341
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Brodka, P https://orcid.org/0000-0002-6474-0089	en_US
dc.contributor.author	Musial, K https://orcid.org/0000-0001-6038-7647	en_US
dc.contributor.author	Jankowski, J	en_US
dc.date.accessioned	2020-03-31T21:20:16Z
dc.date.available	2020-03-31T21:20:16Z
dc.date.issued	2020-01-01	en_US
dc.identifier.citation	IEEE Access, 2020, 8 pp. 10316 - 10341	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139667
dc.description.abstract	© 2013 IEEE. The world of network science is fascinating and filled with complex phenomena that we aspire to understand. One of them is the dynamics of spreading processes over complex networked structures. Building the knowledge-base in the field where we can face more than one spreading process propagating over a network that has more than one layer is a challenging task, as the complexity comes both from the environment in which the spread happens and from characteristics and interplay of spreads' propagation. As this cross-disciplinary field bringing together computer science, network science, biology and physics has rapidly grown over the last decade, there is a need to comprehensively review the current state-of-the-art and offer to the research community a roadmap that helps to organise the future research in this area. Thus, this survey is a first attempt to present the current landscape of the multi-processes spread over multilayer networks and to suggest the potential ways forward.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP190101087
dc.relation.ispartof	IEEE Access	en_US
dc.relation.isbasedon	10.1109/ACCESS.2020.2965547	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Interacting Spreading Processes in Multilayer Networks: A Systematic Review	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	8	en_US

Abstract:

© 2013 IEEE. The world of network science is fascinating and filled with complex phenomena that we aspire to understand. One of them is the dynamics of spreading processes over complex networked structures. Building the knowledge-base in the field where we can face more than one spreading process propagating over a network that has more than one layer is a challenging task, as the complexity comes both from the environment in which the spread happens and from characteristics and interplay of spreads' propagation. As this cross-disciplinary field bringing together computer science, network science, biology and physics has rapidly grown over the last decade, there is a need to comprehensively review the current state-of-the-art and offer to the research community a roadmap that helps to organise the future research in this area. Thus, this survey is a first attempt to present the current landscape of the multi-processes spread over multilayer networks and to suggest the potential ways forward.

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http://hdl.handle.net/10453/139667