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. 2011 Jan 20;2011(1):616382. doi: 10.1155/2011/616382

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Copyright © 2011 J. Aćimović et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Structural changes of the growing networks: in-degree distribution, shortest path length, and the count of motifs. Three upper rows: NETMORPH results, three lower rows: CX3D results. Different curves correspond to different initial elongation rates , and the employed values are given in the legends (1, 2, 3, 6, 8, and 10 μm/day for NETMORPH, 2, 6, 10, 14, and 22 μm/day for CX3D). Grey interrupted lines indicate motifs that are significantly more frequent than in random networks (-test, 0.01 significance level). The corresponding numbers show for which parameters this holds; for example, 2 means "holds only for the two smallest values." For CX3D, μm/day was excluded since it gives too sparse random networks.

Inline graphic — Structural changes of the growing networks: in-degree distribution, shortest path length, and the count of motifs. Three upper rows: NETMORPH results, three lower rows: CX3D results. Different curves correspond to different initial elongation rates , and the employed values are given in the legends (1, 2, 3, 6, 8, and 10 μm/day for NETMORPH, 2, 6, 10, 14, and 22 μm/day for CX3D). Grey interrupted lines indicate motifs that are significantly more frequent than in random networks (-test, 0.01 significance level). The corresponding numbers show for which parameters this holds; for example, 2 means "holds only for the two smallest values." For CX3D, μm/day was excluded since it gives too sparse random networks.