Patterns of interdisciplinarity in science can be quantified through complementary
dimensions. This paper studies as a case study the scientific environment of a generalist …

In this paper, we extend some usual techniques of classification resulting from a large-scale
data-mining and network approach. This new technology, which in particular is designed to …

Persistent homology is the workhorse of modern topological data analysis, which in recent
years becomes increasingly powerful due to methodological and computing power …

Foreign policy analysis has been struggling to find ways to measure policy preferences and
paradigm shifts in international political systems. This paper presents a novel, potential …

Availability, collection and access to quantitative data, as well as its limitations, often make
qualitative data the resource upon which development programs heavily rely. Both …

In the last years complex networks tools contributed to provide insights on the structure of
research, through the study of collaboration, citation and co-occurrence networks. The …

Topic models are widely used in natural language processing, allowing researchers to
estimate the underlying themes in a collection of documents. Most topic models use …

The identification of structuring effects of transportation infrastructure on territorial dynamics
remains an open research problem. This issue is one of the aspects of approaches on …

We provide novel evidence on how right-wing (populist) rhetoric spreads. Using several
thousand speeches from the German parliament, we show that exposure to politicians from …

Document clustering is an integral and important part of text mining. In case of classical
clustering, data item belongs to only one cluster, whereas in Plithogenic approach to fuzzy …