A comprehensive Python toolbox for mapping evolving relationship data
[show more] `evomap` allows users to create spatial representations ('maps') based on data capturing actors' evolving relationships. In Marketing, such maps are typically used to analyze the competitive positions within a market (so-called market structure analysis). There, data can originate from surveys, clickstreams, text-mining, embeddings, or many others. Beyond Marketing, such maps can be used to study different kinds of networks (e.g., social, economic, or financial networks), political ideology, or act as a general tool for dimensionality reduction. In many cases, such data is nowadays available longitudinally, i.e., for multiple subsequent points in time. `evomap` allows users to preprocess such data efficiently, implements muliple (static and dynamic) mapping methods from Psychometrics and Computer Science, and provides users with an easy-to-use API to explore the results. On the technical side, `evomap` is an independent Python package, easily compatible with other data science pipelines (such as `scikit-learn`), and implements runtime optimization via C.
`evomap` is based on my dissertational research on dynamic mapping, and currently supports ongoing research projects, industry applications, and teaching in marketing analytics.
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