Title :
Detecting Influential Spreaders in Complex, Dynamic Networks
Author :
Basaras, Pavlos ; Katsaros, Dimitrios ; Tassiulas, L.
Author_Institution :
Univ. of Thessaly, Volos, Greece
Abstract :
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.
Keywords :
complex networks; invasive software; complex networks; dynamic networks; influential spreader detection; k-shell index; malware; node degree; Complex networks; Computer security; Indexes; Level measurement; Malware; Social network services; complex networks; cyberattacks; cybersecurity; dynamic networks; influential spreaders; security;