@article{rodriguez2019optimal,
    author = {Nathaniel Rodriguez and Eduardo Izquierdo and Yong-Yeol Ahn},
    title = {Optimal modularity and memory capacity of neural reservoirs},
    journal = {Network Neuroscience},
    volume = {3},
    number = {2},
    pages = {551--566},
    doi = {10.1162/netn_a_00082},
    archivePrefix = {arXiv},
    eprint = {1706.06511},
    primaryClass = {cs.NE},
    year = {2019},
}

Shows that modular structure controls the dynamics and memory performance of threshold-neuron reservoirs. Memory peaks at an intermediate modularity that balances local cohesion with global connectivity.

Reservoir computing, Optimal modularity, Neural graph architecture and function

@article{perry2022new,
    author = {Brea L. Perry and Meltem Odabaş and Kai-Cheng Yang and Byungkyu Lee and Patrick Kaminski and Brian Aronson and Yong-Yeol Ahn and Carrie B. Oser and Patricia R. Freeman and Jeffrey C. Talbert},
    title = {New means, new measures: assessing prescription drug-seeking indicators over 10 years of the opioid epidemic},
    journal = {Addiction},
    volume = {117},
    number = {1},
    pages = {195--204},
    doi = {10.1111/add.15635},
    year = {2022},
}

Compares traditional and network-based indicators of prescription drug-seeking using US claims from 2009–2018. Traditional binary indicators became less predictive over time, while continuous measures and PageRank-based measures retained more predictive value.

Opioid epidemic, Drug seeking behavior, Network centrality

@article{lu2020cocontributorship,
    author = {Chao Lu and Yingyi Zhang and Yong-Yeol Ahn and Ying Ding and Chenwei Zhang and Dandan Ma},
    title = {Co-contributorship network and division of labor in individual scientific collaborations},
    journal = {Journal of the Association for Information Science and Technology},
    volume = {71},
    number = {10},
    pages = {1162--1178},
    doi = {10.1002/asi.24321},
    archivePrefix = {arXiv},
    eprint = {1911.10745},
    primaryClass = {cs.SI},
    year = {2020},
}

Builds author–task and co-contributorship networks from 138,787 PLOS articles to study division of labor within papers. It distinguishes specialists, team players, and versatile contributors and relates those patterns to common research tasks and author roles.

Scientific collaboration, Team science, Division of labor

Advocates for safer streets are sometimes dismissed as a loud minority. I wrote Safe streets are not a minority preference about why I think this framing is terrible. If driving is convenient while you either wait for an hour to take a bus or you need to risk your life biking, the fact that most people drive tells us nothing about what they prefer as a transportation option. Current travel patterns reflect the existing street design and we can’t treat them as a vote against changing those streets.

Also, many people are either not aware or not actively thinking about consequences of street design. Consider two following questions with very different frames & data:

“Would you support installing speed humps that slow down cars?”

vs.

“On this school route, would you support traffic calming that slows cars, makes walking and biking safer, with roughly 50% fewer children killed or seriously injured and generally modest effects on travel time?”

I doubt the answer would look like a minority preference if we provide more contexts.

Most people are not “cyclists” or “drivers”; they simply choose the safe and convenient options#

A 2016 survey of 3,000 adults across the 50 largest US metropolitan areas found that about half were “interested but concerned” about biking. Traffic and too few bike lanes or trails were among the barriers they reported. That is a lot of potential riders to leave out when we count only the people willing to ride today.

Nor are “drivers” and “cyclists” fixed identities. I usually ride an e-bike, but I also drive, walk, or take the bus depending on what works. Making another mode practical gives the same person another choice.

Let’s make the trip to school safer#

That is also the motivation behind the Safe School Streets page for Charlottesville. I’ve put together a two-page flyer to print or share with other families.

The goal is simple: children should be able to walk or bike to school, and parents should be able to trust that they’ll get there safely. That means looking at the whole route. One dangerous crossing can make an otherwise comfortable walk or ride impossible for a family.

In a previous email, I wrote about the evidence for traffic calming and my letter asking Charlottesville to make it the default. I’d like to help turn that into improvements along school routes.

Charlottesville Safe School Streets is an email discussion group for families to share concerns and work together. We can start with a difficult crossing, walk the route with school leadership, and ask the City’s Safe Routes to School coordinator to help identify improvements and next steps.

You can also report a problem through MyCville. Include the location, what happens during arrival or dismissal, and what you’d like the City to assess. Keep the request number so we can follow up together.

If you’re in Charlottesville, please join or pass the flyer along! Everyone is welcome, however your family gets to school. If you have trouble joining the group, or would like to help organize, email me.

Week Without Driving: October 1–8#

How would you get to work or buy groceries if you couldn’t drive? Week Without Driving runs October 1–8, 2026, inviting us to try everyday trips by walking, rolling, biking, taking transit, or asking for a ride. You can participate for a trip, a day, or the whole week.

Avon Street hearing: October 22#

Weigh in on the Avon Street multimodal improvements on 10/22!

• Thursday, October 22, 2026, 5–7 p.m. at Monticello High School (1400 Independence Way).

If you can’t attend, email comments to john.rose1@vdot.virginia.gov with “Avon Street multimodal improvements” in the subject line. Comments must be submitted or postmarked by November 2; the project page has the plans and mailing details.

One leaf blower versus 300 F-150s#

Imagine 300 Ford F-150 Raptors circling around your house. Now imagine one gardener using a gas leaf blower for the same amount of time.

In an Edmunds laboratory test, a two-stroke leaf blower emitted nearly 300 times as much non-methane hydrocarbon per minute as a Ford F-150 Raptor. Although this was a comparison of specific machines and pollutants, it seems to be well-known than small two-stroke engines (often used in small equipments) are terribly polluting. My Leaf blower pollution page contains more information about the test and why these small engines are so dirty.

So I was glad to see Charlottesville’s August 24 announcement that the Downtown Mall custodial crew had switched entirely to electric leaf blowers. Staff reported comparable power and performance, with almost no remaining complaints about blower noise.

I sent an email to the city leadership and staffs, encouraging them to create more incentives for nudging small businesses to transition to electric equipment. So it was great to hear that the city has started an electric landscaping rebate program!

yy

Sent October 4, 2026.

@article{yu2026dataset,
    author = {Yulin Yu and Yong-Yeol Ahn and Daniel M. Romero},
    title = {Dataset repurposing and disruptive AI research},
    year = {2026},
    eprint = {2609.16736},
    archivePrefix = {arXiv},
    primaryClass = {cs.CY},
}

Technological advancements are enabling increasingly systematic and large-scale data collection across all areas of science, driving scientific innovation. In particular, AI research exemplifies this trend, having advanced rapidly through the assembly of massive datasets used to train and evaluate machine learning models. However, the escalating demand for data, the difficulty of creating high-quality datasets, and the exhaustion of easily accessible data sources in AI research raise important questions about how to maximize the value of existing datasets through recombination and repurposing. Here, we draw on two theoretical frameworks—recombinational novelty and transformational creativity—to examine the practice of data repurposing and its scientific impact. Focusing on AI, we analyze scientific outcomes associated with data repurposing across more than 10,000 machine learning papers. First, we find that although most repurposed datasets do not achieve broad visibility in the short term, data repurposing is associated with greater disruption. Second, when repurposed data is adopted by subsequent research, the repurposing paper is associated with higher disruption and increased citation impact. Third, repurposing teams tend to be more experienced, more institutionally prestigious, and involve academic–industry collaboration. However, team characteristics poorly predict which repurposed datasets will be adopted by the community. These findings suggest that data repurposing may be an important approach to scientific discovery, and that its successful adoption is more common among larger teams and collaborations spanning academia and industry.

This extends Yu and Romero (2024) from unusual dataset combinations to repurposing data across research questions.

Dataset, Scientific disruption, Science of science

Start here: some ideas for what we can do#

• Join the parent network and share ideas and concerns.
• Download the flyer to print or share with other families.
• Request a traffic-calming review through MyCville: flag a dangerous street or crossing and ask the City to assess improvements. You can also document a near miss with the Close Call Report.
• Organize a school-route walk with your principal and the City’s Safe Routes to School coordinator. Start with one difficult crossing or stretch of street.
• Take part in BPAC or join its email discussion group to help improve walking and biking in Charlottesville.
• Connect with Livable Cville, a local community advocating for safer streets and better ways to walk, bike, and get around.
• Start a bike bus or find another family to walk to school with.
• Subscribe to YY’s Bike Shed for my writing about streets and transportation.

Want to help organize, or need help joining? Reach out to YY Ahn. Safer streets benefit everyone, by making driving safer, the long school queue, by making the air cleaner, and by … Everyone is welcome, however your family gets to school.

Read more:

• Safer streets: Traffic calming · Traffic calming works · Traffic calming is cheap
• Costs, space, and traffic: Cost of car ownership · Cars are the least space efficient · Traffic evaporation
• Local action: My letter asking Charlottesville to make traffic calming the default · Charlottesville’s sidewalk priorities

Why#

Happier, healthier trips#

Walking or riding with friends can make the trip to school something kids look forward to. Walking and biking add daily activity, supporting fitness, attention and memory. CDC: physical activity benefits for children

For more children to enjoy trips like this, we need safer streets.

Good street design protects everyone, especially children#

Traffic calming changes the street so drivers slow down and people have safer places to cross. Here are three examples.

Daylighting clears sightlines; curb extensions also narrow intersections, shorten and protect crossings, and slow turning cars. Traffic calming protects drivers and passengers, too: London’s study of 20 mph zones found substantial reductions in injuries to car occupants. Slowing down over a short distance need add very little driving time. For perspective, half a mile at a steady 20 mph instead of 25 mph takes just 18 seconds longer.

Improvements can start with paint and posts. We can work with school and City staff to choose designs that accommodate buses and keep routes accessible to everyone.

Traffic calming works#

Studies across the world found massive safety benefits of traffic calming measures like speed humps, especially for the children (see Traffic calming works for details).

Our school routes need more speed humps and safer crossings. We can map the gaps together and work with school leadership and City staff to request improvements.

Traffic calming works page explains these findings and more.

Zero is possible#

Hoboken has more residents than Charlottesville, yet it reported nine consecutive years without a traffic death in May 2026, while there have been 13 deaths in Charlottesville during the same period. Its zero-death record began before the City’s 2019 Vision Zero executive order. Hoboken’s May 2026 update; the City’s January 2024 milestone.

Compare the same five years, within each city’s boundaries:

Population: U.S. Census, Hoboken and Charlottesville. Charlottesville deaths: Move Safely Blue Ridge’s public-meeting boards. Hoboken’s reported zero-death streak includes the full 2018–2022 period.

Much bigger cities have reached zero-death milestones, too:

• Helsinki: 684,000 residents; a full year without a traffic death, reported in July 2025. City and police officials confirmed no fatalities in the preceding 12 months. The city’s traffic engineer credited lower speeds, upgraded walking and cycling infrastructure, safer crossings and intersections, alongside enforcement and good public transport. Yle’s report; city population at the end of 2024.
• Oslo: 709,000 residents; zero pedestrian and cyclist deaths in 2019 and 2023. Its approach includes speed humps, narrower intersections, protected cycling routes and school “Heart Zones” that encourage walking and biking. Nearly 70% of its streets had 30 km/h (19 mph) limits when the case study was prepared. Oslo Transport Authority’s case study, published by TfL; city population on January 1, 2023.

Healthier kids. Ready to learn.#

Walking and biking build physical activity into the school day. Regular activity strengthens and improves fitness, supports attention and memory, and reduces the risk of depression. These are benefits of physical activity that safer school routes can help children enjoy every day. CDC: physical activity benefits for children.

Cleaner air protects growing lungs#

After London’s Ultra Low Emission Zone (ULEZ) began, children’s lung health improved substantially. The share of children with impaired lung function fell from 14% to 9% in London, compared with 9% to 7% in Luton. CHILL study; Queen Mary University of London’s summary.

Driving is expensive for both parents and the school#

For the household side of the costs, see my post Cost of car ownership: the million-dollar decision you’re not thinking about.

Parents pay with fuel and time. The school devotes land and staff time to car drop-off. Walking and biking can reduce those demands when families have safe routes. Cars are the least space efficient and that why we need more space for cars than the school itself.

Fewer cars. Faster drop-off. Walking and biking take very little space. More families walking or biking means fewer cars in the queue and faster drop-off for the families who have to drive. Safer routes benefit families however they get to school.

Safer streets make driving safer, too. A U.S. evaluation of 45 road diets in California, Iowa, and Washington found 29% fewer crashes after four-lane roads were converted to three lanes, reducing conflicts between vehicles. In London, traffic-calmed 20 mph zones were associated with 53% fewer drivers and passengers injured or killed, and 62% fewer killed or seriously injured, after accounting for the broader decline in road casualties. Grundy et al. (2009), Table 2. More broadly, a meta-analysis of 33 studies found that neighborhood-wide traffic calming reduced crashes causing injuries by about 15% on average.

Safe travel is an equity issue#

Children’s freedom to get around should not depend on whether their family can afford a car. Bureau of Transportation Statistics data show that transportation takes a larger share of income for lower-income households, especially those with a vehicle. When children cannot travel safely on their own, getting them to school, friends, or activities can require both a car and an adult’s time. Safe walking and biking routes give families more options and children more independence.

How to get involved#

Join the parent network#

Join Charlottesville Safe School Streets, a new, parent-organized email discussion group. Anyone can request to join; conversations are visible to members. Share difficult routes and crossings, connect with other families, and work with principals and school administrators on requests for traffic calming. Track progress together and bring in next year’s families so the effort lasts.

Reach out to YY Ahn at yongyeol@gmail.com if you need help joining or would like to help organize.

Everyone is welcome, however your family gets to school.

Report a problem through MyCville#

MyCville accepts non-emergency service requests through its app or online. The City routes reports to the relevant departments; its biking and walking page lists street and sidewalk repairs, overgrown vegetation, and other obstructions among the uses.

Use it to flag a dangerous street or crossing and ask the City to review it for traffic calming. Describe the problem, suggest improvements such as speed humps or shorter crossings, and ask which department will follow up.

1. Open MyCville on your phone, or choose Submit a Request Online on the City’s service-request page. That page also links to the iPhone app.
2. Start a request and choose the issue category that best fits the problem. Describe the hazard clearly if none is an exact match.
3. Give the precise location: the intersection, side of the street, and nearest address or landmark. Check any map location before submitting.
4. Explain what happens and when. For a school route, include arrival or dismissal times and how the problem affects children walking, biking, or using a mobility device. Add a photo if useful.
5. Ask for a concrete response, such as clearing an obstructed sidewalk, restoring a faded crossing, or reviewing the location for traffic calming, including speed humps or curb extensions. Submit the request and save its reference number or confirmation.
6. Keep a record of the response. If the problem remains after a request closes, follow up with the reference number and explain what is still unresolved.

A suggested description to adapt:

At [intersection/address], [describe the problem]. Children use this route to [school] around [times]. [Explain the specific conflict or obstruction]. Please assess [requested repair or safety improvement] and let us know which department will handle it and what the next step is. Photo attached.

If the app is difficult to use, the City lists 434-970-3333, option 2 as a phone alternative. Reports can be submitted at any time; responses may occur during weekday business hours. MyCville is not an emergency service; call 911 for an emergency. City service-request information

For a near miss, use the separate Close Call Report. It asks for the location, a description including travel direction, approximate date and time, and a reply email; an image can be attached. It helps document incidents that do not appear in crash records. Other examples include Fairfax’s community near-miss reporting and the cycling-focused Close Call Database.

Request traffic calming with school leadership#

A repair request and a street redesign need different follow-through. For speed humps, curb extensions, safer crossings, or a connected school route, we can work with the principal and school administration. We can also ask the City’s Safe Routes to School coordinator to join a walk at arrival or dismissal time and help identify the right process.

Check the City’s school-route maps and infrastructure-improvement list. For missing sidewalks, also see Charlottesville’s sidewalk priorities.

The City still links its 2008 Traffic Calming Handbook, which includes study-request and petition forms. The handbook describes a neighborhood-group request and resident support requirements. Ask staff which requirements apply to the particular school route before collecting signatures; do not assume that a MyCville ticket completes the study-request process.

Contribute through BPAC#

Charlottesville’s Bicycle & Pedestrian Advisory Committee (BPAC) is an open, voluntary group. The City explicitly says no application or appointment is required to participate. It advises staff on walking and biking, including school routes and street improvements. City participation guidance

• Join the BPAC Google Group for discussion and meeting updates. If access is restricted, contact the group owners or bikeped@charlottesville.gov.
• Attend a meeting. The BPAC page lists the first Thursday of the month at 5 p.m., in the City Hall basement conference room at 605 E. Main Street, with a hybrid option. Check that page for the current date, agenda, and online link.
• Bring school-route issues: ask what BPAC and staff can do next.
• Help between meetings by documenting difficult crossings, reviewing proposed designs, or joining a neighborhood walk. Share what families experience along the whole route, including streets beyond the school entrance.

The BPAC page also links agendas, notes, and recordings. The coordinator’s listed contact is bikeped@charlottesville.gov, 434-970-3723. Official BPAC information

Connect with Livable Cville#

Livable Cville is a local community advocating for safer streets and better ways to walk, bike, and get around. Its transportation work includes Safe Routes to School, cycling advocacy, and street safety. It’s another way to connect with neighbors who care about these issues.

Start a bike bus or walking group#

Bike Bus World’s guide covers finding a co-organizer, choosing a route, spreading the word, and starting small. Its route advice emphasizes calmer streets and a consistent schedule. A walking group is another way for families to travel together.

Keep it going#

Reach out at yongyeol@gmail.com if you’d like to help. We can begin with a few families, choose shared priorities, and invite school leadership into the work. A useful request log records the location, concern, request number, responsible office, response, and next follow-up date.

Charlottesville Safe School Streets is our email discussion group for school routes, traffic calming, and organizing across schools. Use the BPAC group for City-wide discussion, and connect with Livable Cville for broader community advocacy. YY’s Bike Shed is my own newsletter about sustainable mobility and urbanism.

• Anti-bike lanes - 2026-10-11
• Convergent Representations (The Platonic Representation hypothesis) - 2026-10-11
• Traffic calming - 2026-10-10
• Boucherie et al., "Adaptive cut reveals multiscale complexity in networks" (2026) - 2026-10-06
• Context engineering - 2026-10-05
• Safe streets are not a minority preference - 2026-10-05
• Leaf blower pollution - 2026-10-03
• Ideas of connected ideas - 2026-09-25
• Muralidharan et al., "Federating Governance: How Community Rules Scale with Mastodon Servers" (2026) - 2026-09-24
• Attention mechanism - 2026-09-22
• dotfiles - 2026-09-22
• Induced demand - 2026-09-20
• Motonormativity - 2026-09-20
• Ahn et al., "Wiring cost in the organization of a biological neuronal network" (2006) - 2026-09-20
• Ahn et al., "Epidemic dynamics of two species of interacting particles on scale-free networks" (2006) - 2026-09-20
• Ahn et al., "Analysis of Topological Characteristics of Huge Online Social Networking Services" (2007) - 2026-09-20
• Ahn et al., "Link communities reveal multiscale complexity in networks" (2010) - 2026-09-20
• Ahn et al., "Flavor network and the principles of food pairing" (2011) - 2026-09-20
• Ahn and Ahnert, "The Flavor Network" (2013) - 2026-09-20
• Ahn et al., "Metabolic Network Analysis-Based Identification of Antimicrobial Drug Targets in Category A Bioterrorism Agents" (2014) - 2026-09-20
• Aiyappa et al., "Can we trust the evaluation on ChatGPT?" (2023) - 2026-09-20
• Aiyappa et al., "Emergence of simple and complex contagion dynamics from weighted belief networks" (2024) - 2026-09-20
• Aiyappa et al., "Implicit degree bias in the link prediction task" (2025) - 2026-09-20
• Aiyappa et al., "Zero-shot stance detection in practice: insights on training, prompting, and decoding with a capable lightweight LLM" (2026) - 2026-09-20
• An et al., "SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment" (2018) - 2026-09-20
• An et al., "Predicting Anti-Asian Hateful Users on Twitter during COVID-19" (2021) - 2026-09-20
• Bae et al., "Network Landscape of Western Classical Music" (2016) - 2026-09-20
• Bae et al., "The Multi-Scale Network Landscape of Collaboration" (2016) - 2026-09-20
• Bagrow et al., "Robustness and modular structure in networks" (2015) - 2026-09-20
• Bagrow & Ahn, "Network Cards: concise, readable summaries of network data" (2022) - 2026-09-20
• Bento et al., "Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases" (2020) - 2026-09-20
• Blythe et al., "Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem" (2019) - 2026-09-20
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• Cha et al., "Delayed Information Cascades in Flickr: Measurement, Analysis, and Modeling" (2012) - 2026-09-20
• Cha et al., "Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study" (2021) - 2026-09-20
• Choi et al., "Characterizing Conversation Patterns in Reddit" (2015) - 2026-09-20
• Chun et al., "Comparison of online social relations in volume vs. interaction" (2008) - 2026-09-20
• Combemale et al., "Reconceiving the National Research Enterprise" (2025) - 2026-09-20
• Constantino et al., "Representing the disciplinary structure of physics: A comparative evaluation of graph and text embedding methods" (2025) - 2026-09-20
• DeVerna et al., "Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media" (2025) - 2026-09-20
• Arabidopsis Interactome Mapping Consortium, "Evidence for Network Evolution in an Arabidopsis Interactome Map" (2011) - 2026-09-20
• Frank et al., "AI exposure predicts unemployment risk: A new approach to technology-driven job loss" (2025) - 2026-09-20
• Fulper et al., "Misogynistic language on Twitter and sexual violence" (2014) - 2026-09-20
• Gates and Ahn, "The impact of random models on clustering similarity" (2017) - 2026-09-20
• Gates & Ahn, "CluSim: a python package for calculating clustering similarity" (2019) - 2026-09-20
• Gates et al., "Element-centric clustering comparison unifies overlaps and hierarchy" (2019) - 2026-09-20
• Grabe et al., "The Social Contagion Potential of Pro-Vaccine Messages on Black Twitter" (2023) - 2026-09-20
• Groggel et al., "Race and the beauty premium: Mechanical Turk workers’ evaluations of Twitter accounts" (2018) - 2026-09-20
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• Hébert-Dufresne et al., "One pathogen does not an epidemic make: a review of interacting contagions, diseases, beliefs, and stories" (2025) - 2026-09-20
• Hui et al., "Scalable Detection of Viral Memes from Diffusion Patterns" (2018) - 2026-09-20
• Jiang et al., "Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic" (2025) - 2026-09-20
• Jing & Ahn, "Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twitter" (2021) - 2026-09-20
• Jing et al., "Sameness entices, but novelty enchants in fanfiction online" (2025) - 2026-09-20
• Jo et al., "Extracting hierarchical backbones from bipartite networks" (2020) - 2026-09-20
• Ke and Ahn, "Tie strength distribution in scientific collaboration networks" (2014) - 2026-09-20
• Ke et al., "A systematic identification and analysis of scientists on Twitter" (2017) - 2026-09-20
• Kianersi et al., "Association Between Sampling Method and Covid-19 Test Positivity Among Undergraduate Students" (2020) - 2026-09-20
• Kianersi et al., "Development and validation of a model for measuring alcohol consumption from transdermal alcohol content data among college students" (2023) - 2026-09-20
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• Kim et al., "Labor Space: A Unifying Representation of the Labor Market via Large Language Models" (2024) - 2026-09-20
• Kim et al., "The Potential Impact of Disruptive AI Innovations on U.S. Occupations" (2025) - 2026-09-20
• Kim et al., "Uncovering simultaneous breakthroughs with a robust measure of disruptiveness" (2026) - 2026-09-20
• Kojaku et al., "The effectiveness of backward contact tracing in networks" (2021) - 2026-09-20
• Kojaku et al., "Residual2Vec: Debiasing graph embedding with random graphs" (2021) - 2026-09-20
• Kojaku et al., "Network community detection via neural embeddings" (2024) - 2026-09-20
• Kojaku et al., "Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents" (2025) - 2026-09-20
• Kolchinsky et al., "The Minor fall, the Major lift: inferring emotional valence of musical chords through lyrics" (2017) - 2026-09-20
• Kwak et al., "A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017" (2020) - 2026-09-20
• Kwak et al., "FrameAxis: characterizing microframe bias and intensity with word embedding" (2021) - 2026-09-20
• Lee et al., "Googling social interactions: Web search engine based social network construction" (2010) - 2026-09-20
• Lee et al., "Inverse resolution limit of partition density and detecting overlapping communities by link-surprise" (2017) - 2026-09-20
• Lee et al., "Substitution of Nonpharmacologic Therapy With Opioid Prescribing for Pain During the COVID-19 Pandemic" (2021) - 2026-09-20
• Lee et al., "Systematic Evaluation of State Policy Interventions Targeting the US Opioid Epidemic, 2007-2018" (2021) - 2026-09-20
• Lee et al., "Social signals predict contemporary art prices better than visual features, particularly in emerging markets" (2024) - 2026-09-20
• Lee et al., "A semantic embedding space based on large language models for modelling human beliefs" (2025) - 2026-09-20
• Lee et al., "LLMs Can Infer Political Alignment from Online Conversations" (2026) - 2026-09-20
• Lehmann and Ahn, "Spreading in Social Systems: Reflections" (2018) - 2026-09-20
• Mao et al., "Mobile communications reveal the regional economy in Côte d’Ivoire" (2013) - 2026-09-20
• Mao et al., "Quantifying socio-economic indicators in developing countries from mobile phone communication data" (2015) - 2026-09-20
• Mao et al., "Improving land use inference by factorizing mobile phone call activity matrix" (2017) - 2026-09-20
• Menczer et al., "Addressing the harms of AI-generated inauthentic content" (2023) - 2026-09-20
• Miao et al., "The latent structure of global scientific development" (2022) - 2026-09-20
• Miao et al., "Cooperation and interdependence in global science funding" (2023) - 2026-09-20
• Miao et al., "Persistent Hierarchy in Contemporary International Collaboration" (2024) - 2026-09-20
• Mišić et al., "Cooperative and Competitive Spreading Dynamics on the Human Connectome" (2015) - 2026-09-20
• Mislove et al., "Understanding the Demographics of Twitter Users" (2011) - 2026-09-20
• Moriano et al., "Community-Based Event Detection in Temporal Networks" (2019) - 2026-09-20
• Mouritsen et al., "Data-driven methods for the study of food perception, preparation, consumption, and culture" (2017) - 2026-09-20
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• ruff (Python) - 2026-09-19
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• Traffic projection - 2026-09-17
• Cars are the least space-efficient - 2026-09-13
• Traffic calming is cheap - 2026-09-13
• Traffic calming works - 2026-09-13