移动社会网络中基于全局信任模型的用户影响力计算

针对现有算法和模型对于网络中用户影响力计算大多只考虑拓扑结构和贪心算法而较少考虑真实社会网络中信任度对于节点影响力的重要性这一问题, 该文提出一种全局信任模型(global trust model, GTM)用于评估节点的影响力. 首先计算节点与邻居节点间的信任关系作为局部信任度, 其次利用Beta信誉模型在节点局部信...

Global Trust Model Based Users' Influence Calculation in Mobile Social Networks

To address the problem that most existing algorithms and models for calculating user influence in networks only consider topology and greedy algorithms and rarely take into account the importance of trust degree on node influence, this paper proposed a global trust model (GTM) for evaluating node influence. The trust relationships of a node with its neighbor nodes were calculated as the local trust degrees. Then, the Beta reputation model was used to obtain the global trust degree through the local trust degrees of the node. Finally, the node influence was evaluated according to the global trust degree of the node. Experiments were conducted on real network datasets to compare this model with classical influence algorithms. The experimental results show that the proposed method not only has lower time complexity but also demonstrates a favorable influence propagation ability in addition to ensuring node trustworthiness and accuracy.