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Justin Yeung @justinyinnl.bsky.social · 19d

However, the absolute differences between these model groups strongly depended on the measured concept, and we observed strong variance in performance among models of the same group.

Justin Yeung @justinyinnl.bsky.social · 19d

We present results for over 50 metrics side-by-side to judge the opportunity costs of choosing one method over another. The results revealed strong variation across different groups of models. Overall, modern methods (transformers and generative AI) outperform the older, simpler ones.

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Justin Yeung @justinyinnl.bsky.social · 19d

Our project on comparing rule-based, classical machine learning, transformers and #LLM to measure debate quality on social media is finally out at Communication Methods and Measures! ✨✨✨

@ascor.bsky.social @nunetsi.bsky.social

Link here: www.tandfonline.com/doi/full/10....

Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news

This article explores the (in)ability of automated tools to measure the deliberative quality of online user comments along the standards set out by Habermas: interactivity, diversity, rationality, ...

www.tandfonline.com

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Justin Yeung @justinyinnl.bsky.social · Sep 4

Thanks my good friend for attending CCS in person on my behalf ;)

Hope this quick overview of data quality problem is helpful for the audience

Complexity Cat 🐱 @amahury.bsky.social · Sep 4

Finishing the complexity satellite at #CCS2025, @justinyinnl.bsky.social proposes a data-based approach to approximate the amount of information we need in order to tackle criminal problems from a network science perspective. Some of his insights are that ABM and agentic systems may help.

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Justin Yeung @justinyinnl.bsky.social · Sep 1

Would be giving a talk on Data Quality Framework, online… Hopefully can see some of your faces

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Justin Yeung @justinyinnl.bsky.social · Sep 1

Subscribe here - groups.google.com/a/g-groups.w...

About

groups.google.com

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Justin Yeung @justinyinnl.bsky.social · Sep 1

Hate to miss #CCS2025 :(

But I’m in the background working on bringing complex system to social sciences and humanities in the study of platforms with a new working group Critical Platform Studies at @uwmadison.bsky.social

Sign up to our mailing list (see comment) to join the community!

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Reposted by Justin Yeung

Tomer Ullman @tomerullman.bsky.social · Dec 1

thinking of calling this "The Illusion Illusion"

(more examples below)

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Reposted by Justin Yeung

Takayuki Hiraoka @takayukihir.bsky.social · Aug 27

Happy to share this long-overdue project! We found that many real-world event sequences follow a surprisingly similar hierarchically structured pattern, and that multi-timescale memory mechanisms can explain this pattern. Feedback welcome!
arxiv.org/abs/2508.18281

Hierarchical organization of bursty trains in event sequences

Temporal sequences of discrete events that describe natural and social processes are often driven by non-Poisson dynamics. In addition to a heavy-tailed interevent time distribution, which primarily c...

arxiv.org

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Justin Yeung @justinyinnl.bsky.social · Aug 27

A cool project just ended - very relieved and excited to see it out✨

Stay tuned!

Justin Yeung @justinyinnl.bsky.social · Jul 9

New profile pic on NETSI website taken at the Royal Institution in London.

www.networkscienceinstitute.org/people/justi...

Justin Wang Ngai Yeung | People

Network Science Institute at Northeastern University

www.networkscienceinstitute.org

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Reposted by Justin Yeung

Aaron Clauset @aaronclauset.bsky.social · Jun 24

Slides from my keynote lecture "What drives the productivity of scientific labor?" at the 2025 Oxford Summer School on Economic #Networks. Part 1 of 2: why and how do elite scientists dominate scientific discourse?
aaronclauset.github.io/slides/Claus...

Title slide: "What drives the productivity of scientific labor?" a talk by Aaron Clauset at the Oxford Summer School on Economic Networks 2025

Summary slide arguing that prestige is a structural variable in the scientific ecosystem, and that it is differences in working environment (not pedigree) that explains why elite researchers dominate scientific discourse. Ends with a question: how exactly does environment do this?

Summary slide arguing that working environment (specifically, institutional prestige) explains differences in scientific productivity because there's just more available academic labor at elite places, and researchers use this labor to write more papers. Ends with a question: how much does it matter who you collaborate with? That leads into part 2 of the slides

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Justin Yeung @justinyinnl.bsky.social · Jun 17

On the side of publishing, i wonder if that is domain-specific problem or a general issue across fields? What I feel like is that most subdomains are created to cater the need for understanding particularities… but perhaps maybe in less niche journals, we do need more overarching theories.

Justin Yeung @justinyinnl.bsky.social · Jun 17

Certainly - quality has little to do with model / theoretical complexity. I guess what i am trying to get at is that generalisation of theories requires testings on edge cases to ensure robustness of the theories themselves, meaning that particularities are only the means, not the ends.

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Justin Yeung @justinyinnl.bsky.social · Jun 13

@alexvespi.bsky.social on the simplicity of complexity - mentality (and approach) much needed in all disciplines.

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Reposted by Justin Yeung

NetScience @netscience.bsky.social · Jun 13

Latest out in PNAS!! Comparative evaluation of behavioral epidemic models using COVID-19 data. Amazing collaboration with @ngozzi.bsky.social and @alexvespi.bsky.social www.pnas.org/doi/10.1073/...

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Justin Yeung @justinyinnl.bsky.social · Jun 12

Accounting for complexity. Moreover, even in establishing statistical laws, we are still interested in cases where such laws do (not) apply and therefore we require peculiarities to validate the universality of general models.

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Justin Yeung @justinyinnl.bsky.social · Jun 12

Absolutely agree that we need to find regularities and formalism in media effects research.

But not sure how conducive it is to reduce (model) complexity - my intuition is that the current methods are simply bad at accounting for nuance, but methods from complex system and statmec are good at …

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Justin Yeung @justinyinnl.bsky.social · Jun 7

Two posters and a bunch of amazing people at @netsciconf.bsky.social with @nunetsi.bsky.social

✨✨

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Reposted by Justin Yeung

estebanmoro @estebanmoro.bsky.social · Jun 6

#NetSci2025 is a wrap—huge thanks to the organizers for a fantastic edition! So much energy around Network Science and its many applications. Great to reconnect with colleagues and make new (and hiMgher-order!) connections. See you all next year in Boston!

Picture of the members of the Network Science Institute attending the Network Science Conference at Maastricht 2025

Picture of Esteban Moro presenting their work on Mobility Barriers in Cities during the Network Science Conference 2025

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Justin Yeung @justinyinnl.bsky.social · May 15

Thanks for sharing our work on the phenomenon of GIGO in the criminal network domain!

@nunetsi.bsky.social @oii.ox.ac.uk @riccardodiclemente.com @lambiotte.bsky.social

NetScience @netscience.bsky.social · May 13

Garbage in garbage out? Impacts of data quality on criminal network intervention epjdatascience.springeropen.com/articles/10....

Garbage in garbage out? Impacts of data quality on criminal network intervention - EPJ Data Science

Criminal networks such as human trafficking rings are threats to the rule of law, democracy and public safety in our global society. Network science provides invaluable tools to identify key players a...

epjdatascience.springeropen.com

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Reposted by Justin Yeung

Brian J. Karem @briankarem.bsky.social · Feb 28

I have covered presidential politics for 40 years. This was the most juvenile display by a President and Vice President I have ever seen. Other presidents treated their enemies with more respect. This is a low point and a dark day for the US. Totally embarrassing.

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Reposted by Justin Yeung

Tomás Dodds @tomasdodds.bsky.social · Feb 14

Excited to kick off my fellowship at the Institute for Advanced Study (University of Amsterdam) with my talk: "Knowledge Silos as a Barrier to Responsible AI Practices in Journalism."

📅 Join me on 25/02 at 12:30 in Amsterdam!

More info and registration: ias.uva.nl/content/even...

Knowledge Silos as a Barrier to Responsible AI Practices in Journalism - Institute for Advanced Study IAS

Tomás Dodds, Assistant Professor in Journalism and New Media, Leiden University, is a new fellow at IAS. During his kick-off event, he will explore the concept of 'knowledge silos' in news organizatio...

ias.uva.nl

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Reposted by Justin Yeung

Tomás Dodds @tomasdodds.bsky.social · Feb 8

🚨 New paper out!

We examine how knowledge silos in newsrooms create barriers to responsible AI adoption. When teams operate in isolation, AI tools can be introduced without proper ethical and editorial oversight, weakening accountability.

Read OA 🔓: www.tandfonline.com/doi/full/10....

Knowledge Silos as a Barrier to Responsible AI Practices in Journalism? Exploratory Evidence from Four Dutch News Organisations

The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, and managerial. Among the many cha...

www.tandfonline.com

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Reposted by Justin Yeung

Ronaldo Menezes 🦋 @ronaldomenezes.bsky.social · Feb 5

If you're into network science and have done work on criminal networks/activity, consider sending your work to criminalcomplexity.weebly.com. Organising with Toby Davies, Cecilia Meneghini, Rafael Prieto-Curiel, Rick Quax, Huijuan Wang, Wang Ngai Yeung.

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