Emanuele Cozzo
@ecozzo.bsky.social
A physicist researching in social and political complexity. Co-founder of Heuristica. Lecturer at UBICS. External associate researcher at CNSC-IN3. Posting in Spanish and spanglish.
4/ Nuance: moderate clustering protects minority expression by creating supportive local pockets; excessive clustering entrenches asymmetries (homophily amplification → core–periphery), making silence stickier
October 17, 2025 at 9:25 AM
4/ Nuance: moderate clustering protects minority expression by creating supportive local pockets; excessive clustering entrenches asymmetries (homophily amplification → core–periphery), making silence stickier
3/ Monte Carlo confirms it: the hysteresis loop persists in the stochastic system, narrower than mean-field, but still there. Structural (irregular topology, core–periphery patches) and behavioural noise helps the system escape or traps in some metastable states
October 17, 2025 at 9:25 AM
3/ Monte Carlo confirms it: the hysteresis loop persists in the stochastic system, narrower than mean-field, but still there. Structural (irregular topology, core–periphery patches) and behavioural noise helps the system escape or traps in some metastable states
1/ 🧵 New preprint!
“Modeling Public Opinion Dynamics: The Spiral of Silence in Clustered Homophilic Networks”
arxiv.org/abs/2510.14098
We couple a clustered homophilic network model with a Q-learning “spiral of silence” dynamic uncovering hysteresis in public expression.
“Modeling Public Opinion Dynamics: The Spiral of Silence in Clustered Homophilic Networks”
arxiv.org/abs/2510.14098
We couple a clustered homophilic network model with a Q-learning “spiral of silence” dynamic uncovering hysteresis in public expression.
October 17, 2025 at 9:25 AM
1/ 🧵 New preprint!
“Modeling Public Opinion Dynamics: The Spiral of Silence in Clustered Homophilic Networks”
arxiv.org/abs/2510.14098
We couple a clustered homophilic network model with a Q-learning “spiral of silence” dynamic uncovering hysteresis in public expression.
“Modeling Public Opinion Dynamics: The Spiral of Silence in Clustered Homophilic Networks”
arxiv.org/abs/2510.14098
We couple a clustered homophilic network model with a Q-learning “spiral of silence” dynamic uncovering hysteresis in public expression.
These oscillations offer a practical diagnostic of endogenous criticality in social contagion.
We test the method on real Twitter data distinguishing intrinsic transmissibility shifts from external shocks.
Kudos to Eva Rifá and Julian Vicens
🔗 arxiv.org/abs/2505.24795
We test the method on real Twitter data distinguishing intrinsic transmissibility shifts from external shocks.
Kudos to Eva Rifá and Julian Vicens
🔗 arxiv.org/abs/2505.24795
October 8, 2025 at 12:54 PM
These oscillations offer a practical diagnostic of endogenous criticality in social contagion.
We test the method on real Twitter data distinguishing intrinsic transmissibility shifts from external shocks.
Kudos to Eva Rifá and Julian Vicens
🔗 arxiv.org/abs/2505.24795
We test the method on real Twitter data distinguishing intrinsic transmissibility shifts from external shocks.
Kudos to Eva Rifá and Julian Vicens
🔗 arxiv.org/abs/2505.24795
We show that:
🔹 Targeted spreaders can extend or shorten rumor lifetime
🔹 Autocorrelation acts as an early warning signal near criticality
🔹 Only endogenous growth yields oscillatory autocorrelation (captured analytically via NIMFA)
🔹 Targeted spreaders can extend or shorten rumor lifetime
🔹 Autocorrelation acts as an early warning signal near criticality
🔹 Only endogenous growth yields oscillatory autocorrelation (captured analytically via NIMFA)
October 8, 2025 at 12:54 PM
We show that:
🔹 Targeted spreaders can extend or shorten rumor lifetime
🔹 Autocorrelation acts as an early warning signal near criticality
🔹 Only endogenous growth yields oscillatory autocorrelation (captured analytically via NIMFA)
🔹 Targeted spreaders can extend or shorten rumor lifetime
🔹 Autocorrelation acts as an early warning signal near criticality
🔹 Only endogenous growth yields oscillatory autocorrelation (captured analytically via NIMFA)
New extended version of our preprint!
“Control strategies and virality detection using early warning signals in rumor models”
👉 arxiv.org/abs/2505.24795
We revisit the Maki–Thompson model to study rumor control and how to tell organic virality from astroturfing.
“Control strategies and virality detection using early warning signals in rumor models”
👉 arxiv.org/abs/2505.24795
We revisit the Maki–Thompson model to study rumor control and how to tell organic virality from astroturfing.
October 8, 2025 at 12:54 PM
New extended version of our preprint!
“Control strategies and virality detection using early warning signals in rumor models”
👉 arxiv.org/abs/2505.24795
We revisit the Maki–Thompson model to study rumor control and how to tell organic virality from astroturfing.
“Control strategies and virality detection using early warning signals in rumor models”
👉 arxiv.org/abs/2505.24795
We revisit the Maki–Thompson model to study rumor control and how to tell organic virality from astroturfing.
On my way to #NetSci2025 by train: 11 hours of low-emission travel and high-level procrastination recovery.
Still finishing my talks.
Sustainable science for professional procrastinators
Still finishing my talks.
Sustainable science for professional procrastinators
June 2, 2025 at 6:36 AM
On my way to #NetSci2025 by train: 11 hours of low-emission travel and high-level procrastination recovery.
Still finishing my talks.
Sustainable science for professional procrastinators
Still finishing my talks.
Sustainable science for professional procrastinators
Esta foto la pueden usar contra los fachas y los rojipardos como el ajo con los vampiros. Viva la resistencia.
April 25, 2025 at 7:10 PM
Esta foto la pueden usar contra los fachas y los rojipardos como el ajo con los vampiros. Viva la resistencia.
Iberofonía Socialista. Luego que si el posmodernismo se inventa conceptos y no se que no se cuanto
February 3, 2025 at 11:14 PM
Iberofonía Socialista. Luego que si el posmodernismo se inventa conceptos y no se que no se cuanto
Ahahahah..... Ahahahah...... Ridicoulus.... Ahahahah
January 28, 2025 at 8:03 PM
Ahahahah..... Ahahahah...... Ridicoulus.... Ahahahah
El tecnofascimo no empieza hoy, pero hoy se institucionaliza. Como italiano solo puedo decir una cosa, no hagamos un "Aventino".
January 20, 2025 at 7:15 PM
El tecnofascimo no empieza hoy, pero hoy se institucionaliza. Como italiano solo puedo decir una cosa, no hagamos un "Aventino".
In our study, we adapt the Schelling Model into a board game, using player strategies to analyze how micro-decisions drive macro-patterns like segregation. The results validate gamification as a tool for participatory research and grounded new models generation (3/n)
January 15, 2025 at 9:34 PM
In our study, we adapt the Schelling Model into a board game, using player strategies to analyze how micro-decisions drive macro-patterns like segregation. The results validate gamification as a tool for participatory research and grounded new models generation (3/n)
Excited to share a working paper version of our latest work: "Using Gamified Experiments to Tame Complexity: the case of the Schelling Model of Segregation." How can gamification bridge the gap between abstract models and real-world social phenomena? 👇
January 15, 2025 at 9:34 PM
Excited to share a working paper version of our latest work: "Using Gamified Experiments to Tame Complexity: the case of the Schelling Model of Segregation." How can gamification bridge the gap between abstract models and real-world social phenomena? 👇
Ehi, @openvibe.social, just noticed a bug. Changed the Mastodon password and the app where I logged in with the old password get stacked like this
January 13, 2025 at 7:59 PM
Ehi, @openvibe.social, just noticed a bug. Changed the Mastodon password and the app where I logged in with the old password get stacked like this
If you are only going to read one science book in 2025, let it be this one. I have warned you.
January 3, 2025 at 5:26 PM
If you are only going to read one science book in 2025, let it be this one. I have warned you.
We model emotional agents who express opinions through messages! Emotional arousal shrinks their confidence, fragmenting groups. Our simulations show that synchronized messaging reduces fragmentation and emotional arousal, facilitating consensus. Crucial insights for digital democracy.
November 22, 2024 at 4:32 PM
We model emotional agents who express opinions through messages! Emotional arousal shrinks their confidence, fragmenting groups. Our simulations show that synchronized messaging reduces fragmentation and emotional arousal, facilitating consensus. Crucial insights for digital democracy.
After years of work, especially from @ireneferri.bsky.social and Luce Prignano, we finally share our work "Asymmetric Opinion Formation of Emotional Eccitable Agents"on arXiv! How do emotions and information cascades shape opinion formation in groups? They change the rules🧵
arxiv.org/abs/2411.14099
arxiv.org/abs/2411.14099
November 22, 2024 at 4:32 PM
After years of work, especially from @ireneferri.bsky.social and Luce Prignano, we finally share our work "Asymmetric Opinion Formation of Emotional Eccitable Agents"on arXiv! How do emotions and information cascades shape opinion formation in groups? They change the rules🧵
arxiv.org/abs/2411.14099
arxiv.org/abs/2411.14099
And this is adjusting parameters again, the other plot doesn't change too much
November 18, 2024 at 7:02 PM
And this is adjusting parameters again, the other plot doesn't change too much
Same set of parameters as yesterday. Just added an extra injection of users at timestep 40 to reproduce the gap in ages. Absolute values are different but not bad for a toy model IMHO
November 18, 2024 at 7:02 PM
Same set of parameters as yesterday. Just added an extra injection of users at timestep 40 to reproduce the gap in ages. Absolute values are different but not bad for a toy model IMHO
My guess is that in this early stage the follow back mechanism is the main driver.
Here the result of a simple model with exponential growing network, follow back as the main mechanism and some aging
Here the result of a simple model with exponential growing network, follow back as the main mechanism and some aging
November 17, 2024 at 9:28 PM
My guess is that in this early stage the follow back mechanism is the main driver.
Here the result of a simple model with exponential growing network, follow back as the main mechanism and some aging
Here the result of a simple model with exponential growing network, follow back as the main mechanism and some aging