Dino Pedreschi
Biographic Data
| ID | 785508 |
|---|---|
| NAME | Dino Pedreschi |
| GIVEN NAMES | Dino |
| FAMILY NAME | Pedreschi |
| SIGNATURE | PEDRESCHI D |
| AFFILIATIONS | University of Pisa |
| ORCID | 0000-0003-4801-3225 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Participant behavior and community response in online mental health communities
The growing presence of online mutual-help communities has significantly changed how people access and provide mental health (MH) support. While extensive research has explored self-disclosure and social support dynamics within these communities, less is known about users’ distinctive behavioral patterns, posting intents, and community response. This study analyzed a large-scale, five-year Reddit dataset of 67 MH-related subreddits, comprising ov…
AI content detection in the emerging information ecosystem
The world is about to be swamped by an unprecedented wave of AI-generated content. We need reliable ways of identifying such content, to supplement the many existing social institutions that enable trust between people and organisations and ensure social resilience. In this paper, we begin by highlighting an important new development: providers of AI content generators have new obligations to support the creation of reliable detectors for the con…
Generative AI models should include detection mechanisms as a condition for public release
The new wave of ‘foundation models’—general-purpose generative AI models, for production of text (e.g., ChatGPT) or images (e.g., MidJourney)—represent a dramatic advance in the state of the art for AI. But their use also introduces a range of new risks, which has prompted an ongoing conversation about possible regulatory mechanisms. Here we propose a specific principle that should be incorporated into legislation: that any organization developin…
Give more data, awareness and control to individual citizens, and they will help Covid-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…
A Survey of Methods for Explaining Black Box Models
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many approaches aimed at overcoming this crucial weakness, sometimes at the cost of sacrificing accuracy for interpretability. The applications in which black box decision systems can be used ar…
Integration of Syrian Refugees
Active and passive diffusion processes in complex networks
Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our interpersonal relations. Usually, to simulate and understand the unfolding of such complex phenomena are used general mathematical models; these models act agnostically from the object of which they simulate the diffusion, thus considering spreading of virus, ideas and innovations alike. Indeed, such d…
Homophilic network decomposition
In this paper we formulate the homophilic network decomposition problem: Is it possible to identify a network partition whose structure is able to characterize the degree of homophily of its nodes? The aim of our work is to understand the relations between the homophily of individuals and the topological features expressed by specific network substructures. We apply several community detection algorithms on three large-scale online social network…
Unveiling mobility complexity through complex network analysis
The availability of massive digital traces of individuals is offering a series of novel insights on the understanding of patterns characterizing human mobility. Many studies try to semantically enrich mobility data with annotations about human activities. However, these approaches either focus on places with high frequencies (e.g., home and work), or relay on background knowledge (e.g., public available points of interest). In this paper, we depa…
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks
Due to the growing availability of Internet services in the last decade, the interactions between people became more and more easy to establish. For example, we can have an intercontinental job interview, or we can send real-time multimedia content to any friend of us just owning a smartphone. All this kind of human activities generates digital footprints, that describe a complex, rapidly evolving, network structures. In such dynamic scenario, on…
Returners and explorers dichotomy in human mobility
The availability of massive digital traces of human whereabouts has offered a series of novel insights on the quantitative patterns characterizing human mobility. In particular, numerous recent studies have lead to an unexpected consensus: the considerable variability in the characteristic travelled distance of individuals coexists with a high degree of predictability of their future locations. Here we shed light on this surprising coexistence by…
Extracting and Inferring Communities via Link Analysis
The Social Network of Dante's Inferno
This work aims to approach the phenomenon of culture through the development of new methods and more powerful tools to capture the content of digitally stored literary material. The authors chose as a test bed Dante's characters of al di là, a domain consisting in a set of data and relations complex enough to sharpen existing tools. The methods of investigation under development should help scholars of a literary text to concretize part of their …
No prominent works on this page.
The Social Network of Dante's Inferno
This work aims to approach the phenomenon of culture through the development of new methods and more powerful tools to capture the content of digitally stored literary material. The authors chose as a test bed Dante's characters of al di là, a domain consisting in a set of data and relations complex enough to sharpen existing tools. The methods of investigation under development should help scholars of a literary text to concretize part of their …
Extracting and Inferring Communities via Link Analysis
Returners and explorers dichotomy in human mobility
The availability of massive digital traces of human whereabouts has offered a series of novel insights on the quantitative patterns characterizing human mobility. In particular, numerous recent studies have lead to an unexpected consensus: the considerable variability in the characteristic travelled distance of individuals coexists with a high degree of predictability of their future locations. Here we shed light on this surprising coexistence by…
Homophilic network decomposition
In this paper we formulate the homophilic network decomposition problem: Is it possible to identify a network partition whose structure is able to characterize the degree of homophily of its nodes? The aim of our work is to understand the relations between the homophily of individuals and the topological features expressed by specific network substructures. We apply several community detection algorithms on three large-scale online social network…
Unveiling mobility complexity through complex network analysis
The availability of massive digital traces of individuals is offering a series of novel insights on the understanding of patterns characterizing human mobility. Many studies try to semantically enrich mobility data with annotations about human activities. However, these approaches either focus on places with high frequencies (e.g., home and work), or relay on background knowledge (e.g., public available points of interest). In this paper, we depa…
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks
Due to the growing availability of Internet services in the last decade, the interactions between people became more and more easy to establish. For example, we can have an intercontinental job interview, or we can send real-time multimedia content to any friend of us just owning a smartphone. All this kind of human activities generates digital footprints, that describe a complex, rapidly evolving, network structures. In such dynamic scenario, on…
Active and passive diffusion processes in complex networks
Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our interpersonal relations. Usually, to simulate and understand the unfolding of such complex phenomena are used general mathematical models; these models act agnostically from the object of which they simulate the diffusion, thus considering spreading of virus, ideas and innovations alike. Indeed, such d…
A Survey of Methods for Explaining Black Box Models
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many approaches aimed at overcoming this crucial weakness, sometimes at the cost of sacrificing accuracy for interpretability. The applications in which black box decision systems can be used ar…
Integration of Syrian Refugees
Give more data, awareness and control to individual citizens, and they will help Covid-19 containment
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by…
Generative AI models should include detection mechanisms as a condition for public release
The new wave of ‘foundation models’—general-purpose generative AI models, for production of text (e.g., ChatGPT) or images (e.g., MidJourney)—represent a dramatic advance in the state of the art for AI. But their use also introduces a range of new risks, which has prompted an ongoing conversation about possible regulatory mechanisms. Here we propose a specific principle that should be incorporated into legislation: that any organization developin…
AI content detection in the emerging information ecosystem
The world is about to be swamped by an unprecedented wave of AI-generated content. We need reliable ways of identifying such content, to supplement the many existing social institutions that enable trust between people and organisations and ensure social resilience. In this paper, we begin by highlighting an important new development: providers of AI content generators have new obligations to support the creation of reliable detectors for the con…
Participant behavior and community response in online mental health communities
The growing presence of online mutual-help communities has significantly changed how people access and provide mental health (MH) support. While extensive research has explored self-disclosure and social support dynamics within these communities, less is known about users’ distinctive behavioral patterns, posting intents, and community response. This study analyzed a large-scale, five-year Reddit dataset of 67 MH-related subreddits, comprising ov…
Computer Science (13 works) · Data science (9 works) · Complex Network Analysis Techniques (5 works) · Artificial Intelligence (4 works) · Mathematics (4 works) · Epistemology (3 works) · Geography (3 works) · Human Mobility and Location-Based Analysis (3 works) · Machine learning (3 works) · Theoretical Computer Science (3 works)