Blas Kolic
@blas-ko.bsky.social
Complex systems, Networks, Computational Social Science, Machine Learning
Postdoc at uc3m-IBiDat, Madrid
https://blas-ko.github.io/
Postdoc at uc3m-IBiDat, Madrid
https://blas-ko.github.io/
🚨 Paper alert 🚨
New ABM simulating recruitment dynamics via incentivized recommendations. For a given opening, an agent may recommend it to peers or apply. If someone is hired, everyone in the chain is rewarded. We also reproduce chain-length distributions of classic experiments.
📰 t.co/QDjIV4NnfJ
New ABM simulating recruitment dynamics via incentivized recommendations. For a given opening, an agent may recommend it to peers or apply. If someone is hired, everyone in the chain is rewarded. We also reproduce chain-length distributions of classic experiments.
📰 t.co/QDjIV4NnfJ
December 10, 2025 at 1:39 PM
🚨 Paper alert 🚨
New ABM simulating recruitment dynamics via incentivized recommendations. For a given opening, an agent may recommend it to peers or apply. If someone is hired, everyone in the chain is rewarded. We also reproduce chain-length distributions of classic experiments.
📰 t.co/QDjIV4NnfJ
New ABM simulating recruitment dynamics via incentivized recommendations. For a given opening, an agent may recommend it to peers or apply. If someone is hired, everyone in the chain is rewarded. We also reproduce chain-length distributions of classic experiments.
📰 t.co/QDjIV4NnfJ
🚨 Fresh from ArXiv:
“Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models”
with @marcopangallo.bsky.social, @c0rrad0.bsky.social, & @gdfm.bsky.social
👉 arxiv.org/abs/2509.17625
“Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models”
with @marcopangallo.bsky.social, @c0rrad0.bsky.social, & @gdfm.bsky.social
👉 arxiv.org/abs/2509.17625
October 6, 2025 at 7:53 AM
🚨 Fresh from ArXiv:
“Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models”
with @marcopangallo.bsky.social, @c0rrad0.bsky.social, & @gdfm.bsky.social
👉 arxiv.org/abs/2509.17625
“Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models”
with @marcopangallo.bsky.social, @c0rrad0.bsky.social, & @gdfm.bsky.social
👉 arxiv.org/abs/2509.17625
Last month, we published
"From chambers to echo chambers: quantifying polarization with a second-neighbor approach applied to Twitter’s climate discussion" 🌍🔥
We find stable climate echo chambers despite ~90% weekly user churn, and show how events like #FridaysForFuture can disrupt polarization.
"From chambers to echo chambers: quantifying polarization with a second-neighbor approach applied to Twitter’s climate discussion" 🌍🔥
We find stable climate echo chambers despite ~90% weekly user churn, and show how events like #FridaysForFuture can disrupt polarization.
Validate User
doi.org
September 22, 2025 at 7:23 PM
Last month, we published
"From chambers to echo chambers: quantifying polarization with a second-neighbor approach applied to Twitter’s climate discussion" 🌍🔥
We find stable climate echo chambers despite ~90% weekly user churn, and show how events like #FridaysForFuture can disrupt polarization.
"From chambers to echo chambers: quantifying polarization with a second-neighbor approach applied to Twitter’s climate discussion" 🌍🔥
We find stable climate echo chambers despite ~90% weekly user churn, and show how events like #FridaysForFuture can disrupt polarization.