541 Followers
418 Following
893 Posts

Professor at Indiana University Bloomington. Develops network, data, and machine learning methods and applies them to (mostly) social problems.

@yy@twitter is NOT my account.

homepagehttps://yongyeol.com
blueskyhttps://bsky.app/profile/yyahn.bsky.social
Threads.nethttps://www.threads.net/@yyahn
Another incredibly informative video about why speed limit doesn't work (but better road design works) by Justine Underhill (I can't understand how she only has 3k followers... 🤯)

https://www.youtube.com/watch?v=v6LIYQRglnM
Why speed limits don't matter

YouTube

https://yyiki.org/wiki/articles/2024/neovim_zenmode/

Neovim + zen mode + twilight for writing

YYiki: Neovim zenmode setup for focused writing

Check out our paper "Network community detection via neural embeddings" led by @sadamori (w Filippo Radicchi and Santo Fortunato)!
https://www.nature.com/articles/s41467-024-52355-w

We argue that n2v can encode community structure down to the detectability limit due to its connection to spectral embedding.

Network community detection via neural embeddings - Nature Communications

Approaches based on neural graph embeddings have shown their effectiveness for complex networks analysis, including link prediction and node classification. The authors uncover strengths and limits of neural embeddings with respect to the task of detecting communities in networks.

Nature

🔬 We're hiring a post-doctoral scholar!

Join us to study knowledge space, scientific funding, and scientific and technological progress! To see the details or to submit CV, research statement & references:

https://indiana.peopleadmin.com/postings/25908

Postdoctoral Fellow

The Observatory on Social Media (OSoMe) at Indiana University - Bloomington invites applications for a Postdoctoral Fellow (one year term with expected renewals for up to 3 years). The Postdoctoral Fellow will work closely with Yong-Yeol “YY” Ahn and other researchers at the Observatory on modeling the knowledge space and the role of scientific funding in technological advancement. This position will be funded by a National Science Foundation sponsored project titled “Global Observatory and Virtual Laboratory for Science and Technology Advance”.The annual salary is $60,000. The position includes standard benefits at Indiana University commensurate with those for faculty members, such as health, vision, and dental coverage, along with participation in a retirement plan.Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.

🚨Job alert!🚨

Come join us at the Inverse Complexity Lab! @invcomplexity

We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.

https://skewed.de/lab/call.html

Deadline is 30 Nov 2024.

We are looking for an early-stage or more advanced postdoctoral scholar who is interested in building on our ongoing projects, or developing their own research agenda related to inverse problems in network science, complex systems modeling, and/or connections to machine learning.

This position is not bound to a particular research project, and the successful applicant will enjoy intellectual independence and freedom to choose research topics.

We’re seeking applicants with a background in Physics, Computer Science, Statistics, Applied Mathematics, or related fields, and with an interest in interdisciplinary research.

This position is guaranteed for 3 years. The gross salary range is € 66,532 to € 72,000 (indexed for inflation), depending on previous experience.

The employment conditions in Austria include completely free health care (also for family members), social security benefits, 25 days per year of paid vacations, flexible working hours, and possibility of home office.

In addition, IT:U will provide a KlimaTicket—a unified transport pass which gives free access to the entire transportation system in Austria, including trains and local public transport.

IT:U is a brand new public university in Austria, which began operations with its first cohort of professors in 2024, and is devoted to interdisciplinary research. It is co-located with the Johannes Kepler Universität in Linz, at the Science Park campus.

Linz is the third largest city in Austria with a population of 200k, centrally located only 1h15m away from Vienna by train, and short connections to Germany, Italy, and other neighboring countries.

For more information, see the call at https://skewed.de/lab/call.html

Spread the word!

#networkscience @academicchatter

Open post-doc position at the Inverse Complexity Lab – Tiago P. Peixoto

Inverse Complexity Lab

skewed.de

This paper looks like a nice guide for causal inference with instrumental variables. I haven't read whole thing closely yet, but it seems to go through each assumption and what happens if they are violated (not often exposed & explained well).

https://journals.sagepub.com/doi/full/10.1177/00491241241235900

“Typing” effect of LLM interface increases stereo”typing” via stronger anthropomorphism?

https://osf.io/preprints/psyarxiv/eqjsg

OSF

Nice, our #Geospatial Data Science 🌐 course materials reached 500 stars on Github! ⭐🤩
https://github.com/mszell/geospatialdatascience
We aim to update it yearly with new developments.
GitHub - mszell/geospatialdatascience: Course materials for: Geospatial Data Science

Course materials for: Geospatial Data Science. Contribute to mszell/geospatialdatascience development by creating an account on GitHub.

GitHub
Filipi Silva introduces GPU-powered drag & drop network embedding and visualization tools
#Rep4CS #CCS2024
Sadamori opens the Rep4CS satellite
#CCS2024