Analysis on Cooperation Relationship of Poverty Alleviation Organizations in Sichuan Province Based on Link Prediction

Abstract

Poverty eradication is the common ideal of mankind. Currently, as COVID-19 continues to rage around the world, the cause of poverty reduction faces greater challenges. Poverty reduction requires the involvement of multiple parties, and the challenging nature of it determines the complexity of participation in poverty reduction cooperation. In this paper, the link prediction method is used to calculate the path similarity in the network and use the Katz index to predict the connection possibility between unknown links in the poverty alleviation network. Take Sichuan Province as a case to analyze and put forward cooperation suggestions. The results show that in the entire network, all anti-poverty organizations recommend cooperation with one of the government departments, local schools, state-owned enterprises and high quality schools. Among them, government departments and local schools are the most recommended organizations. After the overall victory in the fight against poverty, the governance of relative poverty still requires continuous attention. Through our research, we hope to contribute to a better construction of a new poverty reduction system under the new poverty model.