IEEE - Institute of Electrical and Electronics Engineers, Inc. - Epidemic spreading in temporal and adaptive networks with static backbone

Author(s): Matthieu Nadini ; Alessandro Rizzo ; Maurizio Porfiri
Sponsor(s): IEEE Computer Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (CD): 2334-329X
ISSN (Electronic): 2327-4697
DOI: 10.1109/TNSE.2018.2885483
Regular:

Activity-driven networks (ADNs) are a powerful paradigm to study epidemic spreading in temporal networks, where the dynamics of the disease and the evolution of the links share a common... View More

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