email_company — Manufacturing company email (2010)
- Description
A network of the internal email communication among the employees of a mid-sized manufacturing company, over the first nine months of 2010 (from 1 January to 30 September; the first email is of 2 January), with the company's reporting hierarchy, collected by Radosław Michalski and colleagues. Each node is an email account of the company (167 in total), and a directed edge from account A to account B is an email sent by A with B among its recipients, so that an email to several recipients appears as several edges (recipients in To, CC and BCC are not distinguished), and pairs of accounts are connected by several edges (a multigraph). Some emails were sent by an account to itself (51 self-loops). The data give the time of each email in local time, to the second; the time zone is not given, and the times are taken here as local times of Poland (Europe/Warsaw, with daylight saving time), the country of the authors' university (the company's location is not stated). The content of the emails is not included in the data.
The reporting hierarchy gives, for each employee, the employee they report to (their supervisor), without job titles or positions; node 86 is the chief executive officer, who reports to themself. Seven accounts are technical email accounts, not used by employees, and six are accounts of former employees, for which the hierarchy has no supervisor.
The network has the following properties:
- (Node)
id: the identifier of the account in the data (1 to 167). - (Node)
reports_to: the identifier of the account of the employee's supervisor (-1 for technical accounts and accounts of former employees). - (Node)
is_technical: whether the account is a technical email account not used by employees. - (Node)
is_former_employee: whether the account is that of a former employee. - (Edge)
time: the time of the email (Unix time, from the local time taken as Europe/Warsaw time).
- (Node)
- Tags
- Social Communication Unweighted Multigraph Timestamps Metadata
- Added
- 2020-08-11
- Citation
-
- R. Michalski, S. Palus, P. Kazienko, "Matching organizational structure and social network extracted from email communication." Business Information Systems, Lecture Notes in Business Information Processing 87, 197-206 (2011) 10.1007/978-3-642-21863-7_17 Sci-Hub
- M. Nurek, R. Michalski, "Combining Machine Learning and Social Network Analysis to Reveal the Organizational Structures." Applied Sciences 10(5), 1699 (2020) 10.3390/app10051699 Sci-Hub
- R. Michalski, "Manufacturing company email metadata and corporate hierarchy." Harvard Dataverse, dataset (2020) 10.7910/DVN/6Z3CGX Sci-Hub
- Upstream URL OK
- https://doi.org/10.7910/DVN/6Z3CGX
- Upstream license
- Creative Commons CC0 1.0 Universal, https://creativecommons.org/publicdomain/zero/1.0/
- Networks
-
Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
- Ridiculograms*
-