针对舆论观点在传播过程中不断演化的现象,提出一种考虑观点篡改的新的观点传播模型。考虑节点观点在舆论传播过程中会有一定的概率被社会中的个体所修改,并基于此研究源节点的状态和节点观点的篡改对网络观点传播的影响。仿真结果表明:当网络(WS和BA网络)节点考虑观点篡改时,最终网络中节点的观点与源节点的观点是否相关,取决于网络节点的观点篡改率和源节点的观点强度;而在真实Facebook网络中,不仅仅取决于这两个因素,而且取决于源节点的度。同时实验表明,网络中高度数的源节点的观点比低度数的源节点观点传播更快。
Considering that public opinion is evolving in the spreading process, this paper proposes a new opinion spreading model, which takes opinion revision into consideration. We believe that the opinion of one node has some probability to be modified. And thus we study the influence of source node’s status and the factor of opinion revision to network opinion spreading. The experimental results indicate that: whether the nodes’ opinion of a network at the final state relate to source node’s opinion or not depends on the network nodes’ opinion revision rate and the opinion strength of source node. Besides, for the real Facebook network, this not only depends on the network nodes’ opinion revision rate and the opinion strength of source node, but also depends on the degree of source node. In addition, the experimental results also indicate that the opinion of source node with high degree is propagating faster than that of source node with low degree.
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