Giancarlo Ruffo
Biographic Data
| ID | 3471951 |
|---|---|
| NAME | Giancarlo Ruffo |
| GIVEN NAMES | Giancarlo |
| FAMILY NAME | Ruffo |
| SIGNATURE | RUFFO G |
| AFFILIATIONS | University of Turin |
| ORCID | 0000-0002-3407-9234 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
PyBiblioNet
Bibliometric analysis is a critical tool for understanding the structure, dynamics, and impact of scientific research. Traditional methods often fall short in capturing the intricate relationships and evolving trends within scientific literature. To address this gap, we present pyBiblioNet, a Python library designed to facilitate comprehensive network-based bibliometric analysis, providing insights into citation networks, co-authorship networks, …
Fact-checking strategies to limit urban legends spreading in a segregated society
We propose a framework to study the spreading of urban legends, i.e., false stories that become persistent in a local popular culture, where social groups are naturally segregated by virtue of many (both mutable and immutable) attributes. The goal of this work is identifying and testing new strategies to restrain the dissemination of false information, focusing on the role of network polarization. Following the traditional approach in the study o…
Fact-checking strategies to limit urban legends spreading in a segregated society
We propose a framework to study the spreading of urban legends, i.e., false stories that become persistent in a local popular culture, where social groups are naturally segregated by virtue of many (both mutable and immutable) attributes. The goal of this work is identifying and testing new strategies to restrain the dissemination of false information, focusing on the role of network polarization. Following the traditional approach in the study o…
Fact-checking strategies to limit urban legends spreading in a segregated society
We propose a framework to study the spreading of urban legends, i.e., false stories that become persistent in a local popular culture, where social groups are naturally segregated by virtue of many (both mutable and immutable) attributes. The goal of this work is identifying and testing new strategies to restrain the dissemination of false information, focusing on the role of network polarization. Following the traditional approach in the study o…
PyBiblioNet
Bibliometric analysis is a critical tool for understanding the structure, dynamics, and impact of scientific research. Traditional methods often fall short in capturing the intricate relationships and evolving trends within scientific literature. To address this gap, we present pyBiblioNet, a Python library designed to facilitate comprehensive network-based bibliometric analysis, providing insights into citation networks, co-authorship networks, …
Complex Network Analysis Techniques (2 works) · Bibliometrics (1 work) · Bioinformatics and Genomic Networks (1 work) · Citation (1 work) · Citation analysis (1 work) · Computer Science (1 work) · Computer security (1 work) · Epistemology (1 work) · History (1 work) · History (1 work)