marc santolini

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marc santolini

marc santolini

@msantolini

Team lead @interactiondata (LPI Paris). Network science, collective intelligence, citizen science.

Paris, France Katılım Mayıs 2011
904 Takip Edilen1.3K Takipçiler
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marc santolini
marc santolini@msantolini·
Our work on the trajectories of scientists in the knowledge space has been published in EPJ Data Science @epj_ds! We show that tools for studying human mobility can be applied to the mobility within scientific knowledge.🧵 doi.org/10.1140/epjds/…
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Interaction Data Lab
Interaction Data Lab@InteractionData·
New paper from the team just published in Physica A! We propose a novel fitting method for rank-size distributions beyond Zipf's law, and apply it to the case of commit distributions of open-source repositories in Github. sciencedirect.com/science/articl…
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liubov
liubov@luyibov·
Special edition of the seminar by @nwlandry today! Title: higher-order structure is more complex than current measures and models. Time: 18th April (Thursday) at 5pm CET. Register to get a link forms.gle/N6jjaGSGjoBGvP…
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Richard D. Bartlett
Richard D. Bartlett@RichDecibels·
hello would you join me in a musical experiment? I'm extremely curious about goosebumps. I've been collecting songs that give me goosebumps into a playlist. I would be so interested to see other people's lists could you make one for me?
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hocine cherifi
hocine cherifi@HocineCherifi·
COMPLEX NETWORKS 2024 is held in a city that straddles two continents (Europe, and Asia). Save the date! (December 10-12, 2024)! Submit at complexnetworks.org
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Yamir Moreno
Yamir Moreno@cosnet_bifi·
Now out: "Contagion dynamics on higher-order networks" (arxiv.org/abs/2402.14938). This is a focused review of the topic that also proposes a unified formalism covering most of the functional forms used for the spreading dynamics and discusses a roadmap for empirical validation.
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marc santolini
marc santolini@msantolini·
Collaborative work with @chakresh_iitgn @luyibov Fabrice Lecuyer and @m_starnini. And thanks to the comments on our preprint in this previous thread for helping us improve the work! twitter.com/m_starnini/sta…
Michele Starnini@m_starnini

In our last @arxiv preprint, we studied mobility patterns in the knowledge landscape made of... @arxiv preprints! We show that scientific trajectories of researchers in a low-dimensional embedding of 1.5M arxiv papers closely resemble physical mobility. arxiv.org/abs/2302.13054

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marc santolini
marc santolini@msantolini·
This work opens up the possibility of using this space to quantify how interventions (such as funding) modify trajectories and the structure of the space.
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marc santolini
marc santolini@msantolini·
Collectively, these trajectories form mobility flows that follow a gravity model, favouring jumps in high-density areas and making long-distance moves less likely.
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marc santolini
marc santolini@msantolini·
Using low-dimensional embedding techniques, we created a knowledge space composed of 1.5 million articles in physics, computer science, and mathematics. The analysis of individual publication histories reveals patterns of knowledge mobility similar to physical mobility.
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marc santolini
marc santolini@msantolini·
Our work on the trajectories of scientists in the knowledge space has been published in EPJ Data Science @epj_ds! We show that tools for studying human mobility can be applied to the mobility within scientific knowledge.🧵 doi.org/10.1140/epjds/…
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Keşfet

@luyibov @_jgyou @DataInteraction @InteractionData @lpiparis_ @RichDecibels @mindismoving @estebanmoro