论文标题
互动网络对信息寻求信息的影响
Impact of the Interaction Network on the Dynamics of Word-of-Mouth with Information Seeking
论文作者
论文摘要
口碑是指在创新扩散（新颖的实践，思想或产品）期间发生的人际交流的动态。根据现场研究，口碑是通过寻求信息和积极沟通的：个人首先意识到创新的存在，然后开始积极寻求评估创新所需的专家知识；当他们拥有专家知识时，他们可能会开始积极地推广它。创新的成功扩散需要个人具有认识和专业知识，以便他们可以评估创新并正确使用创新。最近提出了一种计算模型“ USA/IPK”，以研究寻求信息对口碑动态的作用和影响。我们在这里提出了对交互网络对该模型动力学的影响的分析。我们将模型的动力学与用不同算法生成的网络与原始动力学进行了比较。结果表明，模型的动力学在经过测试的网络之间相似，而显着的扩散效率除外，扩散的效率在具有相似密度和大小的网络之间变化。
Word-of-Mouth refers to the dynamics of interpersonal communication occurring during the diffusion of innovations (novel practices, ideas or products). According to field studies, word-of-mouth is made of both information seeking and proactive communication: individuals first become aware of the existence of an innovation, then start actively seeking out for the expert knowledge required to evaluate the innovation; when they hold the expert knowledge, they might start promoting it pro-actively. Successful diffusion of innovation requires the individuals to hold both awareness and expert knowledge, so they can evaluate the innovation and use it properly. A computational model "USA/IPK" was recently proposed to study the role and impact of information seeking on the dynamics of word-of-mouth. We propose here an analysis of the impact of the network of interaction on the dynamics of this model. We compare the dynamics of the model over networks generated with different algorithms with the original dynamics. The results demonstrate the dynamics of the model are similar across tested networks, with the noticeable exception of the efficiency of the diffusion which varies between networks having similar densities and sizes.
