activity
20212026
most citedPrediction and visualization of Mergers and Acquisitions using Economic Complexity

11 citations · 27 across the 12 of their papers we have counts for

collaborators

12 papers

astro-ph.GA2026

Kinematic and dynamics of the galaxy ESO 358-60

Francesco Sylos Labini, Matteo Straccamore

We investigate the velocity field derived from HI measurements of the irregular galaxy ESO 358-60 using the Velocity Ring Model (VRM) method. This technique, which assumes a coplan…

physics.soc-ph2025

Comparative Analysis of Technological Fitness and Coherence at different geographical scales

Matteo Straccamore, Matteo Bruno, Andrea Tacchella

Debates over the trade-offs between specialization and diversification have long intrigued scholars and policymakers. Specialization can amplify an economy by concentrating on core…

astro-ph.GA2025★ 1 cited

Breaking the degeneracy between warps and radial flows in external galaxies

Francesco Sylos Labini, Giordano De Marzo, Matteo Straccamore

Observations of the line-of-sight component of emitter velocities in galaxies are valuable for reconstructing their 2D velocity fields, albeit requiring certain assumptions. A comm…

astro-ph.GA2024★ 6 cited

Exploring the Dark Matter Disc Model in Dwarf Galaxies: Insights from the LITTLE THINGS Sample

Francesco Sylos Labini, Roberto Capuzzo-Dolcetta, Giordano De Marzo +1

We conducted an analysis of the velocity field of dwarf galaxies in the LITTLE THINGS sample, focusing on deriving 2D velocity maps that encompass both the transverse and radial ve…

physics.soc-ph2024★ 1 cited

Machine learning-based similarity measure to forecast M&A from patent data

Giambattista Albora, Matteo Straccamore, Andrea Zaccaria

Defining and finalizing Mergers and Acquisitions (M&A) requires complex human skills, which makes it very hard to automatically find the best partner or predict which firms will ma…

astro-ph.GA2023

The Tully-Fisher relation and the Bosma effect

Francesco Sylos Labini, Giordano De Marzo, Matteo Straccamore +1

We show that the rotation curves of 16 nearby disc galaxies in the THINGS sample and the Milky Way can be described by the NFW halo model and by the Bosma effect at approximately t…

physics.soc-ph2023

The geography of innovation dynamics

Matteo Straccamore, Vittorio Loreto, Pietro Gravino

Cities and metropolitan areas are major drivers of creativity and innovation in all possible sectors: scientific, technological, social, artistic, etc. The critical concentration a…

astro-ph.GA2023★ 8 cited

Mapping non-axisymmetric velocity fields of external galaxies

Francesco Sylos Labini, Matteo Straccamore, Giordano De Marzo +1

Disk galaxies are typically in a stable configuration where matter moves in almost closed circular orbits. However, non-circular motions caused by distortions, warps, lopsidedness,…

physics.soc-ph2023

Spaces of innovation and venture formation: the case of biotech in the United Kingdom

Francesco Marzolla, Przemysław Nowak, Rohit Sahasrabuddhe +4

Patents serve as valuable indicators of innovation and provide insights into the spaces of innovation and venture formation within geographic regions. In this study, we utilise pat…

physics.soc-ph2022★ 11 cited

Prediction and visualization of Mergers and Acquisitions using Economic Complexity

Lorenzo Arsini, Matteo Straccamore, Andrea Zaccaria

Mergers and Acquisitions represent important forms of business deals, both because of the volumes involved in the transactions and because of the role of the innovation activity of…

physics.soc-ph2022

Urban Economic Fitness and Complexity from Patent Data

Matteo Straccamore, Matteo Bruno, Bernardo Monechi +1

Over the years, the growing availability of extensive datasets about registered patents allowed researchers to better understand technological innovation drivers. In this work, we…

physics.soc-ph2021

Which will be your firm's next technology? Comparison between machine learning and network-based algorithms

Matteo Straccamore, Luciano Pietronero, Andrea Zaccaria

We reconstruct the innovation dynamics of about two hundred thousand companies by following their patenting activity for about ten years. We define the technological portfolios of…