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. 2012 Jan 11;2:218. doi: 10.1038/srep00218

Table 1. Number of nodes N, average degree 〈k〉, and the relative size Inline graphic of the mimimum controlling set found in 35 different real world networks. The values of Inline graphic reported are expressed as percentage of the network size N. The algorithms used to find approximations of minimum controlling sets, mark as controllers also nodes not controlling other nodes, simply because, at a certain iteration of the greedy procedure, they have remained with no out-going links. Therefore, we also report in parenthesis the relative size of the effective minimum controlling set and the percentage of the controlled nodes. The notation x% → y%, indicates that x% of the nodes is able to control the centrality of y% of the network. We report also, for each network, the relative size Inline graphic of the controlling set in randomized versions which preserve the original degree sequence. We have considered averages over 100 different randomizations. In the last two columns we report, respectively, the ratio α between the total degree of the nodes in the minimum controlling set and the number of nodes in the network, and the percentage p quantifying how many of the top-100 nodes with the highest degree belong to the minimum controlling set. From top to bottom, the networks are divided into six classes, respectively World-Wide-Web, collaboration/communication, citation, spatial, words and socio–economical networks.

Network N k Inline graphic(G) Inline graphic(Grnd) α p
Web (Berkley and Stanford)29 654782 22.2 8% (3%→95%) 12% 1.41 17%
Web (Google)29 875713 11.1 15% (9%→94%) 22% 1.74 92%
Web (Notre Dame)30 325729 9.2 13% (8%→95%) 21% 1.57 28%
Web (Stanford)29 281904 16.4 8% (3%→95%) 15% 1.45 21%
Jazz musicians31 198 27.7 8% (5%→97%) 13% 1.63
Movie actors32 392340 7.2 11% (8%→97%) 22% 3.63 90%
Cond-Mat coauthorship33 12722 6.3 23%(18%→93%) 29% 1.24 23%
AstroPh coauthorship33 13259 18.7 16% (10%→94%) 27% 1.48 8%
Networks coauthorship34 379 4.8 20% (15%→94%) 29% 1.05
URV email35 1133 9.6 23% (16%→91%) 27% 2.40 20%
ENRON email29,36 2351 118.7 7%(4%→97%) 8% 1.11 5%
Email EU-All37 265214 3.5 16% (1%→85%) 26% 1.49 95%
Wiki-talk38 2394385 4.20 2% (1%→99%) 23% 2.48 5%
Hep-Ph citation37 34401 12.25 16% (10%→94%) 22% 2.72 25%
Hep-Th citation37 27400 12.7 17%(8%→91%) 22% 2.27 15%
Patents37 3774768 8.75 50% (16%→60%) 26% 2.21 17%
Internet AS39 11174 4.2 9% (8%→99%) 22% 2.25 70%
US Airports40 500 11.9 14% (12%→97%) 19% 4.31
US Power Grid41 4941 5.33 33% (29%→95%) 23% 2.21 9%
roadnet CA29 1965206 5.63 31% (30%→96%) 23% 1.96 1%
roadnet PA29 1088092 5.67 33% (30%→967%) 23% 1.98 1%
roadnet TX29 1379917 5.57 33% (30%→97%) 23% 1.99 1%
Electronic circuit (s208 st)42 123 3.1 29% (26%→96%) 28% 1.01
Electronic circuit (s420 st)42 253 3.1 29% (25%→96%) 28% 1.01
Electronic circuit (s838 st)42 513 3.2 29% (25%→96%) 28% 1.03
Wordnet43 77595 3.44 26% (19%→92%) 26% 1.63 64%
USF Words associations44 10618 13.6 22% (8%→56%) 25% 5.15 22%
PGP45 10680 4.5 22% (18%→77%) 29% 1.84 39%
Amazon46 410236 16.36 17% (9%→91%) 17% 1.70 35%
Epinions47 75879 13.41 22% (19%→95%) 18% 7.45 90%
Gnutella37,48 62586 4.72 19%(11%→62%) 31% 2.60 21%
PolBlogs49 1224 31.2 13% (8%→94%) 18% 5.23 23%
PolBooks50 105 8.4 15% (12%→98%) 22% 1.48
Slashdot29 82168 23.08 25% (21%→58%) 27% 1.75 3%
Wiki-vote38 8298 25.00 16% (15%→99%) 20% 11.04 56%