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EvoMapJS - A JavaScript Toolbox for Mapping Evolving Relationship Data

TBA : Intro blurb

Installation

To install the app locally:

  • Clone the github repo.
  • Open the terminal and navigate inside the terminal to its local repository (cd local_path_of_githb_repo).
  • Run npm i (this will installs Node.js module dependencies for React).
  • Run npm start (the will starts the local server environment for the app).
  • The app should open automatically in your default browser. If it does not, open a browser and navigate to http://localhost:3000/.

See https://evomapviz.github.io/EvoMapJS/docs/deploy/ for a guide on how to deploy the app online.

Usage

⚠️ WARNING:

To experiment with new data and metadata setting, please use your own branch with prefix uexp/ (feel free to create one by cloning the main branch). !! Do NOT use existing main or dev branches!!. If you'd like to contribute, please create a new branch with prefix dev/ and submit a pull request.

See the doc at https://evomapviz.github.io/EvoMapJS/docs/ for detailed instructions on how to use the app.

References

This package is based on the authors' work in

[1] Matthe, M., Ringel, D. M., Skiera, B. (2022), Mapping Market Structure Evolution. Marketing Science, forthcoming.

Read the full paper here (open access): https://doi.org/10.1287/mksc.2022.1385

Please cite our paper if you use this package or part of its code

evomap also builds upon the work of others, including

[2] Ringel, D. M., & Skiera, B. (2016). Visualizing asymmetric competition among more than 1,000 products using big search data. Marketing Science, 35(3), 511-534.

[3] Torgerson, W. S. (1952). Multidimensional Scaling: I. Theory and method. Psychometrika, 17(4), 401-419.

[4] Van der Maaten, L., & Hinton, G. (2008). Visualizing data using t-SNE. Journal of Machine Learning Research, 9(11).

[5] Sammon, J. W. (1969). A nonlinear mapping for data structure analysis. IEEE Transactions on computers, 100(5), 401-409.

[6] Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1-27.

If you use the respective methods implemented in evomap, consider also citing the original references.

License

EvoMapJS is licensed under the terms of the MIT license. It is free to use, however, please cite our work.