Detecting Influential Spreaders in Complex, Dynamic Networks

A hybrid of node degree and k-shell index is more effective at identifying influential spreaders and has less computational overhead than either of these traditional measures.

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Calif.), 2013-04, Vol.46 (4), p.24-29
Main Authors: Basaras, P., Katsaros, D., Tassiulas, L.
Format: Article
Language:English
Subjects:
Complex networks
Computation
Computer networks
Computer science
Computer security
cyberattacks
cybersecurity
dynamic networks
Dynamics
Indexes
influential spreaders
Level measurement
Malware
Measurement
Networks
security
Social network services
Spreaders
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Description
Summary:A hybrid of node degree and k-shell index is more effective at identifying influential spreaders and has less computational overhead than either of these traditional measures.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2013.75