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...

Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to identify source code programmers. Authorship attribution of source code is required in diverse applications, ranging from malicious code trackin...

Introduction and literature review Co-authorship network, a proxy of research collaboration, reveals the collaboration patterns and the determining factors through social network analysis perspective, with nodes representing authors and links representing co-authorships (Ortega, 2014; Yan & Ding, 2009). If we know what mechanisms push the evolution of coauthorship network, we could predict whic...

Objective(s): Recent evidence has shown underlying roles of gut dysbiosis and metabolic endotoxemia in obesity and its complications. Despite the large number of experimental and clinical researches performed on gut microbiota and obesity, no bibliometrics’ study has been conducted so far. We aimed to assess the trend of global scientific publications in the field of gut microbiota and obesity....

Co-authorship in scientific research is increasing in the past decades. There are lots of researches focusing on the pattern of co-authorship by using social network analysis. However, most of them merely concentrated on the properties of graphs or networks rather than take the contribution of authors to publications and the semantic information of publications into consideration. In this paper...

Co-authorship in publications within a discipline uncovers interesting properties of the analysed field. We represent collaboration in academic papers of computer science in terms of differently grained networks, including those sub-networks that emerge from conference and journal co-authorship only. We take advantage of the network science paraphernalia to take a picture of computer science co...