2020/07/14 by Fabio Ciulla, Rosario N. Mantegna · 3 citations
Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · Social Sciences · #Big Data and Digital Economy #Business model #Digital Marketing and Social Media #Dynamics (music) #FinTech #FinTech, Crowdfunding, Digital Finance #Scale (ratio) #Set (abstract data type) #physics.soc-ph #q-fin.GN
paper · pdf · doi:10.1063/5.0004487
published in Chaos An Interdisciplinary Journal of Nonlinear Science 30(8), 083112 (American Institute of Physics) · 11 pages, 4 figures, 4 tables
arxiv created 2020/07/14 · openalex created_date 2020/07/23 · openalex publication_date 2020/08/01 · arxiv updated 2020/08/26 · openalex updated_date 2026/08/05
We perform a large scale analysis of a list of fintech terms in (i) news and blogs in the English language and (ii) professional descriptions of companies operating in many countries. The occurrence and the co-occurrence of fintech terms and locutions show a progressive evolution of the list of fintech terms in a compact and coherent set of terms used worldwide to describe fintech business activities. By using methods of complex networks that are specifically designed to deal with heterogeneous systems, our analysis of a large set of professional descriptions of companies shows that companies having fintech terms in their description present over-expressions of specific attributes of country, municipality, and economic sector. By using the approach of statistically validated networks, we detect geographical and economic over-expressions of a set of companies related to the multi-industry, geographically, and economically distributed fintech movement.