Abstract: In the era of integrated media, the publicity of regional pattern of rural development is easy to form the phenomenon of network heat flow. However, the characteristics and laws of its news transmission and word cloud structure are still to be revealed. In this paper, taking "Daifan mode" of Xinxian County, Henan Province as an example, computer R language and word frequency analysis technology realizes keyword extraction and word meaning mining. The results show that although the news release of "Daifan mode" is concerned by provincial and ministerial governments and high-traffic websites, and industry websites are also widely involved, local media are still dominant, and there are few outside media. In terms of the scale of information release, the spatial structure of "core-peripheral-edge" is presented, with Xinyang as the core, Henan as the periphery, and other parts of the country as the edge. Core words of news content focus on important links such as target crowd and key innovation of Transplanting mode, which comprehensively reflect the characteristics and value of this mode. In the end, suggestions for improvement of "Daifan mode" are put forward.