Based on analyzing closeness and authority for ranking expert in social network
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
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In order to improve the trustworthiness of network and decrease the cheating behavior among the nodes in the network, a model for trust discovery based on weighted closeness (WCTD) is presented. This model considers the factors such as the transition fading, time decay, and weights of the path and so on when performing the trust path searching and choosing. So trustor can find the node which satisfies its demand with low time complexity and perform the transaction with it. The combination of the trust path is realized by the weighted closeness and the policy to inhibit the malicious recommendation is given. Finally, the experiment has shown that this model has improved the trustworthiness of the network comparing with the existed trust model. The trust combination based on weighted closeness can be used in various trust models and it has better adaptability.