Social networks content analysis has become more challenging over the years due to the
rapidly increasing amount of data. Real social networks are omnipresent in everyday life …

Scopus is a well known repository of metadata about scientific research articles. In this work,
we gather data from this repository to create a social graph of scientific authors, starting from …

Network graphs are used for high-stake decision making in medical and other contexts. For
instance, graph drawings conveying relatedness can be relevant in the context of spreading …

Homophily is the phenomenon of individuals seeking others who are similar to themselves.
Homophily influences the formation of co-authorship networks. In our study, we measure the …

Legal texts are typically written in a natural language. However, a legal text that is written in
a formal language has the advantage of being subject to automation, at least partially. Such …

Since the birth of digital social networks, management research focused upon the
opportunities of social media marketing. A marketing campaign has the best success when it …

Text normalisation is an important task in the context of Natural Language Processing. By
normalisation, free text is mapped into dictionaries, ie indexed collections of locutions …

This position paper discusses the definition and implementation of Web-Physical (WP) user
profiles, which allow the creation of personalized recommendations and innovative …

In this paper, we illustrate a combinatorial approach to the problem of defining an ontology
used for detecting multiple authorship and roles in weblogs and social network literature …

Since the birth of digital social networks, management research focused upon the
opportunities of social media marketing. A marketing campaign has the best success when it …