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Universal bounds for spreading on networks
Gadi Fibich
*
, Tomer Levin
*
Corresponding author for this work
School of Mathematical Sciences
Department of Applied Mathematics
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Keyphrases
Adoption Rate
100%
Universal Bounds
100%
Spreading on Networks
100%
Network Structure
50%
Diffusion of Innovation
25%
Stochastic Processes
25%
Tight
25%
Social Networks
25%
Complete Network
25%
Explicit Upper Bounds
25%
Peer Effects
25%
Bass Model
25%
Nodes Networks
25%
Explicit Lower Bounds
25%
Individual Adoption
25%
Mathematics
Lower and upper bounds
100%
Universal Bound
100%
Stochastic Process
50%
Probability Theory
50%
External Influence
50%
Computer Science
Network Structure
100%
Social Network
50%