Table 4 The average of the Kendall coefficient of the eight algorithms ranked in 12 real networks.

From: A novel voting measure for identifying influential nodes in complex networks based on local structure

Network

\(\sigma \left( {\tau_{BC} } \right)\)

\(\sigma \left( {\tau_{DC} } \right)\)

\(\sigma \left( {\tau_{KS} } \right)\)

\(\sigma \left( {\tau_{NCVR} } \right)\)

\(\sigma \left( {\tau_{DIL} } \right)\)

\(\sigma \left( {\tau_{AAVA} } \right)\)

\(\sigma \left( {\tau_{VRPlus} } \right)\)

\(\sigma \left( {\tau_{EWV} } \right)\)

Karate

0.4806

0.6858

0.6322

0.8071

0.2863

0.7824

0.6722

0.7787

Dolphin

0.6419

0.7829

0.7106

0.7776

0.8155

0.8141

0.7015

0.8717

Adjnoun

0.5553

0.8832

0.8393

0.8811

0.8055

0.9203

0.8312

0.9310

Football

0.3996

0.5329

0.1318

0.0791

0.4884

0.4646

0.3572

0.6745

C. Elegans

0.4088

0.7510

0.7429

0.7401

0.6559

0.8412

0.7118

0.8522

USAir97

0.6025

0.8240

0.8474

0.8688

0.7729

0.9180

0.7289

0.9179

Email

0.6782

0.8373

0.8408

0.8595

0.8229

0.9000

0.7647

0.9243

Netscience

0.3332

0.6612

0.6073

0.6934

0.6954

0.7726

0.4990

0.8212

Yeasts

0.6236

0.6534

0.7462

0.7854

0.6766

0.8628

0.4932

0.9022

Facebook

0.4823

0.5332

0.5537

0.5433

0.5493

0.6052

0.4839

0.6560

Power

0.3531

0.4409

0.4089

0.4853

0.4515

0.6027

0.2657

0.6795

Hep-th

0.4901

0.6602

0.6325

0.7024

0.6647

0.7850

0.4837

0.8533

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