Authorship analysis is an important task for different text applications, for example in the field of digital forensic text analysis. Hence, we propose an authorship analysis method that compares the average similarity of a text of unknown authorship with all the texts of an author. Using this idea, a text that was not written by an author, would not exceed the average of similarity with known ...

Purpose – To visualize the inter-university and international collaboration networks generated by Spanish universities based on the co-authorship of scientific articles. Design/methodology/approach Formulation based on a bibliometric analysis of Spanish university production from 2000 to 2004 as contained in Web of Science databases, applying social network visualization techniques. The co-auth...

The Author Identification task for PAN 2012 consisted of three different sub-tasks: traditional authorship attribution, authorship clustering and sexual predator identification. We developed three machine learning approaches for these tasks. For the two authorship related tasks we created various sets of feature spaces, where individual differences in writing styles are assumed to surface in ju...

Middle name initials are often used by people in contexts where intellectual performance matters. Given this association, middle initials in people's names indicate intellectual capacity and performance (Van Tilburg and Igou, 2014). In the current research, we examined whether middle initials are associated with a typical academic indicator of intellectual performance: authorship order of journ...

There are many occasions in which the security community is interested to discover the authorship of malware binaries, either for digital forensics analysis of malware corpora or for thwarting live threats of malware invasion. Such a discovery of authorship might be possible due to stylistic features inherent to software codes written by human programmers. Existing studies of authorship attribu...

the increasing amount of scientific collaboration has led to an increase  in the quality of scientific publications. the goal of this article is to analyze the co-authorship patterns and networks in sbums’s scientific publications in wos from 2009 to 2013. hence, the co-authorship indicators and ratio of national to international collaborations are determined. this research is a descriptive sur...

In this paper, we explore a set of novel features for authorship attribution of documents. These features are derived from a word network representation of natural language text. As has been noted in previous studies, natural language tends to show complex network structure at word level, with low degrees of separation and scale-free (power law) degree distribution. There has also been work on ...

Work on authorship attribution has traditionally focused on long texts. In this work, we tackle the question of whether the author of a very short text can be successfully identified. We use Twitter as an experimental testbed. We introduce the concept of an author’s unique “signature”, and show that such signatures are typical of many authors when writing very short texts. We also present a new...

A lthough sound authorship of biomedical journal articles relies on personal and professional integrity and accountability, recent controversies concerning ghostwriting and guest authorship have shown that this approach has limitations. Ghostwriting and guest authorship are often linked to academic-industry collaborations. Typically, industrysponsored professional writers prepare complete artic...