Journal
EPL
Volume 96, Issue 1, Pages -Publisher
EPL ASSOCIATION, EUROPEAN PHYSICAL SOCIETY
DOI: 10.1209/0295-5075/96/18004
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Funding
- EU [231200]
- Swiss National Science Foundation [200020-132253]
- National Natural Science Foundation of China [60973069, 90924011]
- Sichuan Provincial Science and Technology Department [2010HH0002]
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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. Copyright (C) EPLA, 2011
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