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Table 13 Zone properties in real-world networks

From: Ego-zones: non-symmetric dependencies reveal network groups with large and dense overlaps

Network Zones Zone size Inner-zone size Outer-zone size Trivial Dyad Triad Multi ego Embed.
   Max Avg Max Avg Max Avg      
artist 50126 73 1.885 43 1.325 33 0.560 32169 5701 7455 307 0.037
as-22july06 22522 2328 4.423 2083 2.499 245 1.924 784 8111 10300 430 0.070
astro-ph 11521 530 14.738 199 5.542 331 9.196 247 1316 1566 1792 0.323
Brightkite 53308 375 3.494 265 2.063 110 1.431 6364 21930 12344 2891 0.181
com-amazon 297805 451 4.551 360 2.556 91 1.995 45566 40210 64374 24143 0.316
com-dblp 236688 255 6.557 116 3.530 146 3.027 3585 43712 50846 50311 0.315
cond-mat 10712 91 6.444 59 3.442 48 3.002 166 1635 2122 2200 0.412
cond-2005 29389 271 8.490 117 3.857 154 4.633 483 3664 4755 4870 0.309
email-Enron 28704 1371 6.251 1326 3.056 247 3.195 1309 9837 3467 3299 0.089
facebook 3788 1017 6.587 1002 3.078 42 3.510 30 1635 346 118 0.047
ChCh-Miner 1498 78 3.766 63 2.004 17 1.762 769 209 173 9 0.027
new_sites 26729 177 3.537 110 1.894 67 1.642 9777 3783 4612 758 0.141
power 4120 24 3.674 20 2.382 8 1.292 259 1239 1162 562 0.457
PP-Decagon 18933 614 6.627 269 1.593 378 5.034 12652 1692 1787 76 0.037
PP-Pathways 21471 652 2.939 585 1.491 120 1.448 11135 5060 2992 37 0.025
Yeast 2181 32 3.169 26 1.887 10 1.282 414 796 476 38 0.177
LFR 20 500 2000 9848 88 4.591 64 2.235 31 2.356 4819 909 693 57 0.587
LFR 7 60 4000 9476 72 4.638 46 2.418 27 2.219 2270 129 3619 430 0.425
  1. All the biological networks (ChCh-Miner, PP-Decagon, PP-Pathways, Yeast), social networks (artist, facebook, new_sites), and communication networks (Brightkite, Email-Enron) have a low average value of zone embeddedness