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Information networks are a popular way to represent information, especially in domains where the emphasis lies on the structural relationships between the entities rather than their features. Notable examples are online social networks and road networks. This special focus on network topology has led to the development of specialized graph databases. However, few of these databases offer a high-level declarative interface suited for analyzing information networks.
In this talk I present our work on developing a query language for analyzing networks. I will focus on the general principles we followed in the design of this language, and the main challenges related to developing it into a scalable tool for network analysis.