Abstract
We describe the technical background necessary for working with real-world email data as well as the process of how to transform it into a social-network representation for research purposes. We demonstrate how to use the CEMAP feature in ORA social-network analysis software, which operationalizes the entire process for researchers with, or without, in-depth computer expertise. A detailed example is provided to show the steps involved in the process and to highlight the various add-on features of CEMAP, such as anonymization and removing duplicate emails.
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© 2008 Springer-Verlag Berlin Heidelberg
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Frantz, T.L., Carley, K.M. (2008). Transforming Raw-Email Data into Social-Network Information. In: Yang, C.C., et al. Intelligence and Security Informatics. ISI 2008. Lecture Notes in Computer Science, vol 5075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69304-8_42
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DOI: https://doi.org/10.1007/978-3-540-69304-8_42
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