The Research on Spatial Network Replication based on Toponym Co-occurrence by Location Recommendation Model: A Case Study of the History of The Three Kingdoms

Digging out the text information that characterizes connections between different cities has gradually become a critical pathway to investigate the regional intercity links and networks. The research on the toponym co-occurrence network based on biographical books is of great significance for deepening the understanding of historical geographical elements. Based on the review of the existing works, this paper puts forward a novel method to calculate the intercity connections based on the toponym co-occurrence word frequency, considering both the weight of the rareness of toponym and regional dominance asymmetry. This approach realizes the expression of geographical and hierarchical features in the network analysis of the History of The Three Kingdoms and realizes the identification of regional imbalance. Results show that (1) compared with the algorithm of Interlocking Network Model (INM) and the algorithm of Divide-By-City-Pair-Frequency (DBCPF), the results of the proposed algorithm of Location Recommendation Model (LRM) reflect the asymmetry of edge weights. In the validity test, the validity of the location recommendation algorithm is increased by 5% with a lower probability error compared to the existing algorithms, and the effect of the recurrence of place name word frequency is more robust; (2) the calculation results of the existing algorithms are symmetric, while the asymmetric regional correlation data obtained by LRM provides a statistical basis for identifying the node hierarchy of the regional network. © 2023 Journal of Geo-Information Science. All rights reserved.