@article {14440,
	title = {Inferring formal titles in organizational email archives},
	journal = {Proc. of the ICML Workshop on Statistical Network Analysis},
	year = {2006},
	month = {2006///},
	abstract = {In the social network of large groups of people, such as companiesand organizations, formal hierarchies with titles and lines of authority are
established to define the responsibilities and order of power within that
group. Although this information may be readily available for individuals
within that group, the context this hierarchy provides in communications
is not available to those outside the group. In this paper, we define the
problem of inferring this formal hierarchy in the context of organizational
email archives. We present a new dataset for the widely used Enron
email dataset, for use with analysis of the Enron social network hierarchy.
We then provide some preliminary results on the problem of classifying
individuals to their formal titles using standard classification algorithms.
},
	author = {Namata,G.M. and Getoor, Lise and Diehl,C.}
}
