Time-stamped directed emails among the 167 employees of a mid-sized manufacturing company in Poland, January to September 2010. Each recipient of an email (To, CC or BCC) is a separate row. The data are the CC0 release of Nurek & Michalski (2020); radoslaw_hierarchy gives who reports to whom.
Format
A data frame with 82,927 rows and 4 columns:
- time
Days since the first email.
attr(., "unix_origin")holds the Unix time oftime = 0; the release records local (Europe/Warsaw) time.- sender
Character employee id, as in radoslaw_hierarchy.
- receiver
Character employee id.
- weight
Integer,
1for every record.
Source
Nurek M, Michalski R (2020). Manufacturing company email metadata and corporate hierarchy. Harvard Dataverse, doi:10.7910/DVN/6Z3CGX , licence CC0 1.0. Cite: Nurek M, Michalski R (2020). Combining machine learning and social network analysis to reveal the organizational structures. Applied Sciences 10(5), 1699, doi:10.3390/app10051699 ; and Michalski R, Palus S, Kazienko P (2011). Matching organizational structure and social network extracted from email communication. Lecture Notes in Business Information Processing 87, 197–206.