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.🧵 .

RT @InteractionData: New paper from the team just published in Physica A! We propose a novel fitting method for rank-size distributions bey….

RT @luyibov: The recording from the brilliant seminar 👏 by @_jgyou w @datainteraction lab.

RT @luyibov: Seminar on low-dimensions representations of networks by @_jgyou on 28th March at 3pm CET (10 am EST) online and in LPI Paris.….

RT @rlmcelreath: People ask me, "Hey unfashionable Bayesian man, how can I fit those rad generative network models from your course?" Well….

RT @HocineCherifi: COMPLEX NETWORKS 2024 is held in a city that straddles two continents (Europe, and Asia). Save the date! (December 10-12….

RT @cosnet_bifi: Now out: "Contagion dynamics on higher-order networks" (. This is a focused review of the topic th….

RT @estebanmoro: Yes, wow. A visualization library that omits data (!). Is this the only paper affected by this? It is always a good idea t….

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! .

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.

We identify a dichotomy between two types of researchers based on their individual mobility: interdisciplinary explorers, who venture into new fields, and exploiters, who primarily stay within their specialty areas.

Collectively, these trajectories form mobility flows that follow a gravity model, favouring jumps in high-density areas and making long-distance moves less likely.

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.

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.

RT @luyibov: We are restarting the network seminar series with the first talk on "Higher-Order Networks and Motif Analysis in Hypergraphs"….

RT @luyibov: On 27th April at 4pm CET we will have seminar by Dmitryi Kobak on embedding methods. Register for the seminar:..

RT @luyibov: Seminar by Pr. Tomas Veloz, Center Leo Apostel (CLEA) Vrije Universiteit Brussel.21st April 4pm CET👈.From absolute theories to….

RT @m_starnini: In our last @arxiv preprint, we studied mobility patterns in the knowledge landscape made of. @arxiv preprints!. We show….

RT @luyibov: Join us for Network seminar on 9th February 2023 at 5pm CET with Nora Molkenthin from @PIK_Climate speaking about "On-demand r….

@luyibov @chakresh_iitgn @robertnward.