6. Conclusion

The outcome of this research has shown considerable increments in the rate of successfully influenced social nodes between 5.58% and 5.89% with the presence of social trust within social nodes. The result has also shown that the rate of successfully influenced social nodes can be further improved with the introduction of domain specified trust with an additional increment between 0.02 and 4.31%. The results also suggest that the rate of successfully influenced social nodes may vary when different levels of domain relationship links are introduced such as the presence of domain majors, level 2 domains and domain minors, although it is also seen that some of social nodes may not be affected by the additional levels of domain relationship links. It is also found that some social nodes' acceptance probability dropped while comparing between the base algorithm and the trust enabled algorithm. This outcome is aligned with our initial expectation because the drop in certain social nodes' acceptance probability can be caused by source nodes with lower trust values. On the whole, the dataset used in this research had an average increment value of 9% on the rate of successfully influenced social nodes with the application of trusted social node and domain-specified trust, including domains from all three tiers of domain relationship links classified for this research. Although the incremental percentages is insignificant, but consider the size of the dataset is large and the characteristics of different dataset used in the research may influence the performance, the marginal improvement found needs to be taken into consideration in this context. Finally, research also foresees two possible future researches that can be applied to further enhance the social nodes influence strength and the acceptance results obtained from this research. These applications include distance weighted trust and trust value down the lane.
