Cities are related in many ways and the importance of their relationships is well acknowledged. However, most accessible city relational data is geolocation-based and limited within city scales. The broader scope of digital information-based intercity relationships is often overlooked due to the difficulties of extracting and quantifying such relationships. One promising approach to tackle this challenge is collocation analysis, which uses the higher-than-usual co-occurrence of placenames in text to proxy the strength of relationships between cities. This presentation aims to explore the contributions collocation analysis can offer in city network studies. It will first present a lexicon-based collocation analysis method capable of uncovering the multidimensions of city connections, and then will showcase how the collocation results can shed light on informing regional planning policy. To conclude, the presentation will demonstrate the complexities and dynamics of information-based city relationships by extracting collocation results from texts of various languages, genres, and time periods.