marc santolini

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

[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.🧵

https://t.co/epluFdLEq0

[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.
https://t.co/yCn4rQOxqE

[marc santolini @msantolini]

@luyibov @nwlandry not possible to retweet!

[liubov @luyibov]

The recording from the brilliant seminar 👏 by @_jgyou https://t.co/I3slSblTc8 w @datainteraction lab

[marc santolini @msantolini]

@luyibov @_jgyou @DataInteraction @InteractionData Lab :)

[liubov @luyibov]

Seminar on low-dimensions representations of networks by @_jgyou on 28th March at 3pm CET (10 am EST) online and in LPI Paris. Register to get a link at:
https://t.co/k6P2Z7TAVb #networks #data #lowdimensions w/@msantolini @lpiparis_ @InteractionData Excited to host Jean-Gabriel!

[marc santolini @msantolini]

@RichDecibels you might be interested in Felix Scholler’s work! https://t.co/tIjvSe7psj

[Richard McElreath 🐈‍⬛ @rlmcelreath]

People ask me, "Hey unfashionable Bayesian man, how can I fit those rad generative network models from your course?" Well with @danielj_redhead @mindismoving we wrote a package to make it easy. Easier. Okay it's possible now. Open access and open source. https://t.co/1GOXbHA94k

[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 https://t.co/FLMO9eIVH0

[Yamir Moreno @cosnet_bifi]

Now out: "Contagion dynamics on higher-order networks" (https://t.co/uuezQ4TeI0). 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.

[Esteban Moro @estebanmoro]

Yes, wow. A visualization library that omits data (!). Is this the only paper affected by this? It is always a good idea to look at the data directly

[marc santolini @msantolini]

@estebanmoro wow indeed! Reminds me of the use of Excel creating fake gene names in bioinformatics (like « March1 »)… Great to see such replication work, this is science in action! https://t.co/VkdK5ieRl5

[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!
https://t.co/AmTihMauaX

[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.

https://t.co/GcuAXdbSau

[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.

[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.

[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.

[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.🧵

https://t.co/epluFdLEq0

[marc santolini @msantolini]

For those who could not make it, here is the recording of yesterday’s network seminar "Higher-Order Networks and Motif Analysis in Hypergraphs" by Quintino Francesco Lotito

[liubov @luyibov]

@msantolini @research_lpi the recording from the seminar yesterday https://t.co/wVvHvG2cUW

[liubov @luyibov]

We are restarting the network seminar series with the first talk on "Higher-Order Networks and Motif Analysis in Hypergraphs" talk on 5th October (4pm CET) by Quintino Francesco Lotito👆
w/@msantolini @research_lpi Sing up here #hypergraph https://t.co/Jpqc7WfvdY

[liubov @luyibov]

On 27th April at 4pm CET we will have seminar by Dmitryi Kobak on embedding methods.
Register for the seminar:
https://t.co/SidU1uI9xj
@hippopedoid
https://t.co/CaEhmOTUSa
w/@msantolini and network seminar team #networks #embeddings