Vulnerability and power on networks

Bibliographic Data

ID6161375
AuthorsEnrico Bozzo (0000-0003-4315-7203, University of Udine), Massimo Franceschet (0000-0001-9490-1464, University of Udine), Franca Rinaldi (0000-0001-5626-7132, University of Udine)
Year2015
Volume3
Issue2
Pages196-226
Publication date2015-02-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNetwork Science (JOURNAL)
Journal identifiersISSN: 2050-1250 • E-ISSN: 2050-1242
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/nws.2015.8
OpenAlexW2148076352
LanguageEN
Citations received1
References cited27

Inspired by socio-political scenarios, like dictatorships, in which a minority of people exercise control over a majority of weakly interconnected individuals, we propose vulnerability and power measures defined on groups of actors of networks. We establish an unexpected connection between network vulnerability and graph regularizability. We use the Shapley value of coalition games to introduce fresh notions of vulnerability and power at node level defined in terms of the corresponding measures at group level. We investigate the computational complexity of computing the defined measures, both at group and node levels, and provide effective methods to quantify them. Finally we test vulnerability and power on both artificial and real networks

Computer security · Graph · Node (physics · Power (physics · Vulnerability (computing · Vulnerability assessment · Computer Science · Engineering · Game Theory and Applications · Game Theory and Voting Systems · Opinion Dynamics and Social Influence · Psychology · Social Psychology · Theoretical Computer Science

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