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CORR
2011
Springer

Automatic Network Fingerprinting through Single-Node Motifs

9 years 6 months ago
Automatic Network Fingerprinting through Single-Node Motifs
Complex networks have been characterised by their specific connectivity patterns (network motifs), but their building blocks can also be identified and described by node-motifs—a combination of local network features. One technique to identify single node-motifs has been presented by Costa et al. (L. D. F. Costa, F. A. Rodrigues, C. C. Hilgetag, and M. Kaiser, Europhys. Lett., 87, 1, 2009). Here, we first suggest improvements to the method including how its parameters can be determined automatically. Such automatic routines make high-throughput studies of many networks feasible. Second, the new routines are validated in different network-series. Third, we provide an example of how the method can be used to analyse network time-series. In conclusion, we provide a robust method for systematically discovering and classifying characteristic nodes of a network. In contrast to classical motif analysis, our approach can identify individual components (here: nodes) that are specific to a ne...
Christoph Echtermeyer, Luciano da Fontoura Costa,
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2011
Where CORR
Authors Christoph Echtermeyer, Luciano da Fontoura Costa, Francisco A. Rodrigues, Marcus Kaiser
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