A Methodology for Evaluating Algorithms That Calculate Social Influence in Complex Social Networks

Table 2

Summary of statistical hypothesis testing with the goal of social influence algorithm validation.

Testing parameters
(null hypothesis)	Algorithm being tested works by the sheer guessing of correct measurements
Test statistic	Number of correct measurements
Significance level	0.01
Observation (number of correct measurements)	668 in 1152	706 in 1152	706 in 1152	733 in 1152
Conclusion	Algorithm being tested does not work by the sheer guessing of correct measurements.
Validation successful	✓	✓	✓	✓