Research Article

Predicting the Robustness of Large Real-World Social Networks Using a Machine Learning Model

Table 2

Simulation result by IB and RD node attack strategies, represented by the network robustness metrics RIB and RRD, for all 48 real-world social networks (sort by networks’ size from smallest to largest).

Short namesNER IBR RD

musae_PTBR1,91431,3000.2570.214
musae_chameleon2,27936,1020.1530.143
Hamsterster2,42616,6300.1340.133
Tvshow3,89417,2630.1390.153
musae_RU4,38737,3050.2090.149
musae_ES4,65059,3830.2480.202
musae_squirrel5,203217,0740.2980.184
CA-GrQc5,24428,9810.0570.069
Politician5,91041,7300.1980.195
musae_FR6,551112,6670.2880.240
Advogato6,55151,3320.1000.090
Government7,05989,4560.3110.283
Wiki-vote7,117103,6900.1360.144
musae_ENGB7,12835,3250.1800.132
lastfm_asia7,62627,8070.1710.137
musae_DE9,500153,1390.2820.229
CA-HepTh9,87951,9720.0970.091
BlogCatalog310,312333,9830.1940.181
public_figure11,56767,1150.2040.168
musae_crocodile11,633180,0210.1240.071
CA-HepPh12,010237,0110.1380.162
Anybeat12,64567,0530.0390.028
Athletes13,86886,8590.2340.199
Company14,11552,3110.1750.150
CA-AstroPh18,774396,1610.1930.212
musae_facebook22,472171,0030.2280.206
CA-CondMat23,135186,9370.1130.113
Soc-gplus23,62839,2420.0020.001
Cit-HepTh27,772352,8080.3420.307
new_sites27,919206,2600.2640.228
deezer_Europe28,28392,7530.1860.153
Cit-HepPh34,548421,5790.3500.307
Email-Enron36,694367,6630.0480.039
musae_git37,702289,0040.1680.122
deezer_RO41,775125,8270.2610.200
deezer_HU47,540222,8880.3430.287
Artists50,515819,3060.2990.265
deezer_HR54,575498,2030.3750.338
Brightkite58,228214,0780.1070.083
TheMarker69,4131,644,8490.1130.100
Soc-Epinions175,881508,8380.0660.054
Slashdot081177,362905,4690.0930.073
Slashdot090282,170948,4650.1030.077
BlogCatalog188,7844,186,3900.0720.063
BlogCatalog297,8842,043,7010.0160.014
Douban154,908654,1880.0260.024
Gowalla196,591950,3270.1600.115
Email-EuAll265,216420,0460.0010.001
Average38,026391,6980.1730.148
Std51,490687,6010.0980.085