Case Western Reserve University , EECS Seminar Series , 2014
Large Graph Mining - Patterns, Explanations and Cascade Analysis
Christos Faloutsos, CMU
ABSTRACT
What do graphs look like? How do they evolve over time?
How does influence/news/viruses propagate, over time?
We present a long list of static and temporal laws,
and some recent observations on real graphs.
We show that fractals and self-similarity can explain
several of the observed patterns,
and we conclude with cascade analysis and a surprising
result on virus propagation and immunization.
FOILS
- Slides of presentation in
pdf
Last edited: March 27, 2014, by Christos Faloutsos