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C - SNAP - Stanford University

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The model for 1 cascade:<br />

Cascade reaches node u at time t u,<br />

and spreads to u’s neighbors v:<br />

With prob. β cascade propagates<br />

along edge (u,v) and t v = t u+Δ<br />

Transmission probability:<br />

P c(u,v) ∝ P(t v -t u ) if t v> t u else ε<br />

e.g.: P c(u,v) ∝ e -Δt<br />

ε captures influence external to the network<br />

At any time a node can get infected from outside<br />

with small probability ε<br />

12/6/2011 Jure Leskovec, <strong>Stanford</strong> CS224W: Social and Information Network Analysis, http://cs224w.stanford.edu 30<br />

β<br />

a<br />

c<br />

ε<br />

e<br />

tv<br />

ε<br />

b<br />

ε<br />

d

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