Table 3. Average number of nodes reached with 100 times MC simulation (95% Confidence Interval).
| Recruitment Limit | Probability of Recruitment (p) | Starting with 5 people [i=5] (95% CI) | Starting with 10 people [i=10] (95% CI) | Starting with 15 people [i=15] (95% CI) |
|---|---|---|---|---|
| Recruitment limit of 5 people (c=5) | p=0.33 | 91 (76, 106) | 185 (161, 209) | 258 (231, 285) |
| p=0.5 | 1275 (1155, 1395) | 2089 (1979, 2199) | 2504 (2405,2603) | |
| p=0.75 | 6087 (5981, 6193) | 6753 (6703, 6803) | 6948 (6918, 6978) | |
| p=1.0 | 9596 (9561, 9631) | 9839 (9816, 9682) | 9910 (9892,9928) | |
| Recruitment limit of 10 people (c=10) | p=0.33 | 2141 (1920, 2362) | 3226 (3074,3378) | 3707 (3568, 3846) |
| p=0.5 | 7633 (7402, 7864) | 8332 (8277, 8387) | 8701 (8656, 8746) | |
| p=0.75 | 13390 (13359, 13421) | 13504 (13482,13526) | 13662 (13641, 13683) | |
| p=1.0 | 18202 (18172, 18232) | 18347 (18318, 18376) | 18409 (18382, 18436) |
Key:
i = initial number of randomly-selected starting individuals from within the observed network
c = Number of recruitment coupons given (i.e. the maximum number of peers that a participant can subsequently recruit for the simulation)
p = Probability that a peer will participate when asked (i.e. the recruitment incentive’s effectiveness)