The Influence of Community Structure on the Diffusion of Knowledge—A View Based on Market Segmentation

Shi-yong Zheng, Mao-hong Liu, Jin-de Huang

Abstract


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.

Keywords


market segmentation; community recognition; seeds; knowledge diffusion

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Copyright (c) 2019 Shi-yong Zheng, Mao-hong LIU, Jin-de Huang


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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