enron: enron network data
In SNAnalyst/SNA4DSData: Datasets for the SNA4DS course
enron R Documentation
enron network data
Description
enron network
Usage
data(enron, package = "SNA4DSData")
Details
enron network, in igraph-format.
The network consists of 321917 emails sent between 87272 employees of Enron
between 1999 and 2003. Nodes in the network are individual employees and
edges are individual emails. Edges are directed and weighted. The direction
is from the sender to the receiver and the weight represents the number of
messages. It is possible to send an email to oneself, and thus this network
contains loops.
The edges have a weight attribute.
Note that there are many versions of the enron dataset available on the
internet.
Source
http://konect.cc/networks/enron/ and http://www.cs.cmu.edu/~enron/
References
,
Jerome Kunegis, 2013,
KONECT–The Koblenz Network Collection,
Proc. Int. Conf. on World Wide Web Companion, pages 1343-1350.
B. Klimmt, Y. Yang, 2004, Introducing the Enron corpus,
Proc. Eur. Conf. on Mach. Learn., pages 217-226.
SNAnalyst/SNA4DSData documentation built on Aug. 19, 2024, 6:49 a.m.
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| enron | R Documentation |
enron network data
Description
enron network
Usage
data(enron, package = "SNA4DSData")
Details
enron network, in igraph-format.
The network consists of 321917 emails sent between 87272 employees of Enron between 1999 and 2003. Nodes in the network are individual employees and edges are individual emails. Edges are directed and weighted. The direction is from the sender to the receiver and the weight represents the number of messages. It is possible to send an email to oneself, and thus this network contains loops.
The edges have a weight attribute.
Note that there are many versions of the enron dataset available on the internet.
Source
http://konect.cc/networks/enron/ and http://www.cs.cmu.edu/~enron/
References
, Jerome Kunegis, 2013, KONECT–The Koblenz Network Collection, Proc. Int. Conf. on World Wide Web Companion, pages 1343-1350.
B. Klimmt, Y. Yang, 2004, Introducing the Enron corpus, Proc. Eur. Conf. on Mach. Learn., pages 217-226.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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