Based on the China Land Economic Survey (CLES) data, this study employs models such as Eprobit, Eregress, PSM-DID, and others to empirically analyze the impact of internet usage on farmers' land transfer behavior. Using the 4-way counterfactual total effects decomposition method, it separates the technical contribution of the internet and the role of social relationship networks, validating the "collaborative" mechanism between the internet and social networks. The research findings are as follows: (1) Internet usage can further optimize land factor allocation and facilitate farmers' land transfer; (2) Mechanism analysis indicates that strong social networks only have an intermediary effect, while weak social relationship networks have both intermediary and interactive effects, implying the transformation of the agricultural land transaction market; (3) Further analysis reveals that the synergy between the internet and weak social relationship networks can effectively promote the transaction connection between small farm entities and new management entities. Internet usage leads to the long-term and contractualization of land market transactions. The article suggests that internet usage is of significant importance in weakening the constraints of social relationship networks and promoting the effective connection between small-scale agricultural economies and modern agriculture.