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首页> 外文期刊>International Journal of Emerging Technologies in Learning (iJET) >The Influence of Community Structure on the Diffusion of Knowledge—A View Based on Market Segmentation
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The Influence of Community Structure on the Diffusion of Knowledge—A View Based on Market Segmentation

机译：社区结构对知识传播的影响-基于市场细分的视角

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摘要

To analyze the effects of different seeding selection strategies on knowledge diffusion in education field, this study builds an ABMS spreading model and performs several simulation experiments. Besides, market segmentation is proposed as the methods of community recognition as, the effects of the mechanism of market segmentation on seeding user choosing strategies are in-vestigated, and knowledge diffusion efficiency is analyzed. Given the existing education community structure in social network of knowledge, and the forma-tion mechanism of network, and even if the multiple seeds locate in the same education community, they cannot effectively exert the knowledge diffusion function of each seeding node. Several studies have showed that random selec-tion strategy is more effective than the sensitive strategy without any market segmentation. The seeding strategy integrated with market segmentation is ca-pable of improving the efficiency of knowledge diffusion significantly. In the meantime, the sensitive seeding strategy under the education community recog-nition can achieve better knowledge diffusion efficiency.
机译：为了分析不同播种选择策略对教育领域知识传播的影响，本研究建立了一个ABMS传播模型并进行了一些模拟实验。此外，提出了市场细分作为社区认可的方法，并研究了市场细分机制对种子用户选择策略的影响，并分析了知识传播效率。考虑到知识社会网络中现有的教育社区结构和网络形成机制，即使多个种子位于同一个教育社区中，也无法有效地发挥每个种子节点的知识传播功能。几项研究表明，在没有任何市场细分的情况下，随机选择策略比敏感策略更有效。与市场细分相结合的播种策略可以显着提高知识传播的效率。同时，在教育界认可的敏感播种策略下，可以获得更好的知识传播效率。

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