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We also studied the neural network of the worm Caenorhabditis elegans (3, 10) and the benchmark diagram of a computer chip (see http://vlsicad.cs. ucla.edu/~cheese/ispd98.html). We found that P(k) for both was consistent with power-Law tails, despite the fact that for C. elegans the relatively small size of the system (306 vertices) severely limits the data quality, whereas for the wiring diagram of the chips, vertices with over 200 edges have been eliminated from the database.
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For most networks, the connectivity m of the newly added vertices is not constant. However, choosing m randomly will not change the exponent γ (Y. Tu, personal communication).
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personal communication
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Preferential attachment was also used to model evolving networks (L. A. N. Amaral and M. Barthélémy, personal communication).
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Amaral, L.A.N.1
Barthélémy, M.2
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0345069850
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note
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We thank D. J. Watts for providing the C. elegans and power grid data, B. C. Tjaden for supplying the actor data, H. Jeong for collecting the data on the WWW, and L. A. N. Amaral for helpful discussions. This work was partially supported by NSF Career Award DMR-9710998.
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