Jana Diesner

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The Enron email corpus is appealing to researchers because it is a) a large scale email collection from b) a real organization c) over a period of 3.5 years. In this paper we contribute to the initial investigation of the Enron email dataset from a social network analytic perspective. We report on how we enhanced and refined the Enron corpus with respect to(More)
Texts can be coded and analyzed as networks of concepts often referred to as maps or semantic networks. In such networks, for many texts, there are elements of social structure – the connections among people, organizations, events, and so on. Within organizational and social network theory an approach called the meta-matrix is used to describe social(More)
With the widespread proliferation of social media tools such as Facebook and Twitter, the CSCW community has seen a growing interest among researchers to turn to records of social behavior from blogs, social media, and social networking sites, to study human social behavior. This nascent area, that has begun to be referred to in various research circles as(More)
Scholars have often relied on name initials to resolve name ambiguities in large-scale coauthorship network research. This approach bears the risk of incorrectly merging or splitting author identities. The use of initial-based disambiguation has been justified by the assumption that such errors would not affect research findings too much. This paper tests(More)
This paper shows empirically how the choice of certain data pre-processing methods for disambiguating author names affects our understanding of the structure and evolution of co-publication networks. Thirty years of publication records from 125 Information Systems journals were obtained from DBLP. Author names in the data were pre-processed via algorithmic(More)
The Enron email corpus is appealing to researchers because it is a) a large scale email collection from b) a real organization c) over a period of 3.5 years. In this paper we contribute to the initial investigation of the Enron email dataset from a social network analytic perspective. We report on how we enhanced and refined the Enron corpus with respect to(More)
We introduce and evaluate a novel network-based approach for determining individual credit of coauthors in multi-authored papers. In the proposed model, coauthorship is conceptualized as a directed, weighted network, where authors transfer coauthorship credits among one another. We validate the model by fitting it to empirical data about authorship credits(More)
As the growth in popularity of massively multiplayer online games and virtual worlds has correspondingly increased research interest in investigating culture in synthetic environments. One representation of culture in games is the narrative provided in MMORPGs’ quest sets. Quests -tasks given to playersprovide a window into the traits of artificial cultures(More)