Research Article
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 | ✓ | ✓ | ✓ | ✓ |
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