A novel measure to quantify the robustness of social network under the virus attacks

Song, B; Jing, Z; Jay Guo, Y; Liu, RP; Zhou, Q

A novel measure to quantify the robustness of social network under the virus attacks

Song, B Jing, Z Jay Guo, Y Liu, RP Zhou, Q

Permalink

Publisher:: Springer Singapore
Publication Type:: Conference Proceeding
Citation:: Communications in Computer and Information Science, 2020, 1298 CCIS, pp. 189-200
Issue Date:: 2020-01-01

Closed Access

	Filename	Description	Size
	Song2020_Chapter_ANovelMeasureToQuantifyTheRobu.pdf	Published Version	421.73 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Song, B
dc.contributor.author	Jing, Z
dc.contributor.author	Jay Guo, Y
dc.contributor.author	Liu, RP
dc.contributor.author	Zhou, Q
dc.date.accessioned	2021-04-09T20:01:07Z
dc.date.available	2021-04-09T20:01:07Z
dc.date.issued	2020-01-01
dc.identifier.citation	Communications in Computer and Information Science, 2020, 1298 CCIS, pp. 189-200
dc.identifier.isbn	9789811590306
dc.identifier.issn	1865-0929
dc.identifier.issn	1865-0937
dc.identifier.uri	http://hdl.handle.net/10453/147970
dc.description.abstract	Combining the spread velocity, the epidemic threshold and the infection scale at steady state, a new network robust measure with respect to the virus attacks is proposed in this paper. Through examples, we show that spread velocity plays an important role on the network robustness. By using the SI and SIS epidemic model, we analyze the robustness of homogeneous networks. The results show that the irregularity in node degrees decreases the robustness of the networks. Moreover, the simulation results show that the network becomes more fragile as the average degree grows in both homogeneous and heterogeneous networks.
dc.language	en
dc.publisher	Springer Singapore
dc.relation.ispartof	Communications in Computer and Information Science
dc.relation.isbasedon	10.1007/978-981-15-9031-3_17
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A novel measure to quantify the robustness of social network under the virus attacks
dc.type	Conference Proceeding
utslib.citation.volume	1298 CCIS
utslib.for	080303 Computer System Security
utslib.for	0806 Information Systems
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2021-04-09T20:01:05Z
pubs.publication-status	Published
pubs.volume	1298 CCIS

Abstract:

Combining the spread velocity, the epidemic threshold and the infection scale at steady state, a new network robust measure with respect to the virus attacks is proposed in this paper. Through examples, we show that spread velocity plays an important role on the network robustness. By using the SI and SIS epidemic model, we analyze the robustness of homogeneous networks. The results show that the irregularity in node degrees decreases the robustness of the networks. Moreover, the simulation results show that the network becomes more fragile as the average degree grows in both homogeneous and heterogeneous networks.

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

http://hdl.handle.net/10453/147970