Influence, originality and similarity in directed acyclic graphs

Gualdi, Stanislao; Medo, Matúš; Zhang, Yi-Cheng

doi:10.1209/0295-5075/96/18004

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Journal article

Influence, originality and similarity in directed acyclic graphs

Gualdi, Stanislao Physics Department, University of Fribourg, Switzerland
Medo, Matúš Physics Department, University of Fribourg, Switzerland
Zhang, Yi-Cheng Physics Department, University of Fribourg, Switzerland - Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China

12.08.2011

Published in:

Europhysics Letters. - 2011, vol. 96, no. 1, p. 18004

English We introduce a framework for network analysis based on random walks on directed acyclic graphs where the probability of passing through a given node is the key ingredient. We illustrate its use in evaluating the mutual influence of nodes and discovering seminal papers in a citation network. We further introduce a new similarity metric and test it in a simple personalized recommendation process. This metric's performance is comparable to that of classical similarity metrics, thus further supporting the validity of our framework.

Faculty

Faculté des sciences et de médecine

Department

Département de Physique

Language