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Comparison of large networks with sub-sampling strategies

Abstract:

Networks are routinely used to represent large data sets, making the comparison of networks a tantalizing research question in many areas. Techniques for such analysis vary from simply comparing network summary statistics to sophisticated but computationally expensive alignment-based approaches. Most existing methods either do not generalize well to different types of networks or do not provide a quantitative similarity score between networks. In contrast, alignment-free topology based networ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1038/srep28955

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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
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Grant:
Systems Biology Doctoral Training Center (DTC) and the Oxford Center for Integrated Systems Biology (OCISB)
Publisher:
Nature Publishing Group Publisher's website
Journal:
Scientific Reports Journal website
Publication date:
2016-07-06
DOI:
EISSN:
2045-2322
ISSN:
2045-2322
URN:
uuid:5af418a0-ffcd-4e56-a6f5-3aaf5f6ad002
Source identifiers:
627921
Local pid:
pubs:627921

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