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Updated: Jul 13, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
Not all scale-free networks are born equal: the role of the seed graph in PPI network evolution
Fereydoun Hormozdiari1, Petra Berenbrink, Natasa Przulj
1School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.
Abstract:
The (asymptotic) degree distributions of the best-known "scale-free" network models are all similar and are independent of the seed graph used; hence, it has been tempting to assume that networks generated by these models are generally similar. In this paper, we observe that several key topological features of such networks depend heavily on the specific model and the seed graph used. Furthermore, we show that starting with the "right" seed graph (typically a dense subgraph of the protein-protein interaction network analyzed), the duplication model captures many topological features of publicly available protein-protein interaction networks very well.
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