Abstract
In this paper, we evaluate the discrimination power of structural superindices. Superindices for graphs represent measures composed of other structural indices. In particular, we compare the discrimination power of the superindices with those of individual graph descriptors. In addition, we perform a statistical analysis to generalize our findings to large graphs.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Algorithms*
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Humans
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Image Processing, Computer-Assisted
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Models, Chemical*
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Models, Statistical*
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Random Allocation
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Sensitivity and Specificity
Grants and funding
MD thanks the Austrian Science Funds for supporting this work (project P22029-N13). MD also gratefully acknowledges funding from the Standortagentur Tirol (formerly Tiroler Zukunftsstiftung). Also, research was sponsored by the United States Army Research Laboratory and the United Kingdom Ministry of Defence and was accomplished under Agreement Number W911NF-06-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the United States Army Research Laboratory, the United States Government, the United Kingdom Ministry of Defence or the United Kingdom Government. The United States and United Kingdom Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.