René's URL Explorer Experiment


Title: Johan Ugander, Yale S&DS

direct link

Domain: jugander.github.io

Links:

Johan Uganderhttps://jugander.github.io
Homehttps://jugander.github.io
Publicationshttps://jugander.github.io#research
Teachinghttps://jugander.github.io#teaching
Activitieshttps://jugander.github.io#activities
Presshttps://jugander.github.io#press
Bookmarkletshttps://jugander.github.io#bookmarklets
linkhttp://publications.americanalpineclub.org/articles/13201213601/West-Maiden-Southwest-Face-And-Other-Climbs
Department of Statistics & Data Sciencehttp://statistics.yale.edu/
Institute for Foundations of Data Sciencehttp://fds.yale.edu/
Center for Algorithms, Data, and Market Design at Yalehttps://cadmy.yale.edu/
third person biohttps://jugander.github.io/bio.txt
serious photo 1https://jugander.github.io/johan_ugander.jpg
serious photo 2https://jugander.github.io/johan_ugander2.jpg
bskyhttps://bsky.app/profile/jugander.bsky.social
twitterhttps://twitter.com/jugander
mediumhttps://medium.com/@jugander
research bloghttp://jugander.wordpress.com
Social Algorithmshttps://socialalgorithms.github.io/
Ziv Epsteinhttps://www.zive.info/
Izabel Aguiarhttps://izabelpaguiar.com/
Amel Awadelkarimhttps://ameloa.github.io/
Serina Changhttps://serinachang5.github.io/
Samir Khanhttps://stanford.edu/~samirk/
Zhaonan Quhttps://zhaonanq.github.io/
Martin Saveskihttps://www.martinsaveski.com/
Kevin Hanhttps://kevinwhan.github.io/
Jenny Honghttps://jennyhong.github.io/
Jan Overgoorhttp://janovergoor.github.io/
Arjun Seshadrihttps://arjunsesh.github.io/
Imanol Arrieta Ibarrahttps://www.linkedin.com/in/imanol-arrieta-ibarra/
Kristen Altenburgerhttp://kaltenburger.github.io/
Stephen Ragainhttps://www.linkedin.com/in/stephen-ragain-68739353/
Alex Chinhttps://ajchin.github.io/
Google Scholar profilehttp://scholar.google.com/citations?hl=en&user=x8UpLZUAAAAJ
Consensus and fragmentation in academic publication preferenceshttps://arxiv.org/abs/2603.00807
codehttps://github.com/LarremoreLab/academic-publication-preferences/
The illusion of households as entities in social networks https://arxiv.org/abs/2502.14764
Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interferencehttps://arxiv.org/abs/2405.07979
Whose Values? Measuring the (Subjective) Expression of Basic Human Values in Social Mediahttps://arxiv.org/abs/2511.08453
codehttps://github.com/zivepstein/icwsm2026-values
Exclusion Zones of Instant Runoff Votinghttps://arxiv.org/abs/2502.16719
Community notes reduce engagement with and diffusion of false information online https://www.pnas.org/doi/10.1073/pnas.2503413122
codehttps://github.com/saveski-lab/community-notes-causal-effects/
PNAS commentaryhttps://www.pnas.org/doi/10.1073/pnas.2524004122
arxivhttps://arxiv.org/abs/2502.13322
On Sinkhorn's Algorithm and Choice Modelinghttps://arxiv.org/abs/2310.00260
codehttps://github.com/zhaonanq/choice-Sinkhorn
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddingshttps://arxiv.org/abs/2405.00172
codehttps://zenodo.org/records/15557848
Replicating Electoral Successhttps://arxiv.org/abs/2402.17109
codehttps://github.com/tomlinsonk/plurality-replicator-dynamics
The Art of Randomness: Sampling and Chance in the Age of Algorithmic Reproductionhttps://hdsr.mitpress.mit.edu/pub/x5yq8vmk/release/1
Statistical Models of Top-k Partial Ordershttps://arxiv.org/abs/2406.15893
codehttps://github.com/ameloa/partial-orders
Inferring Dynamic Networks from Marginals with Iterative Proportional Fittinghttps://arxiv.org/abs/2402.18697
codehttps://github.com/snap-stanford/ipf-network-inference
Off-policy evaluation beyond overlap: partial identification through smoothnesshttps://arxiv.org/abs/2305.11812
codehttps://github.com/skhan1998/lipschitz-ope
A tensor factorization model of multilayer network interdependencehttps://jmlr.org/papers/v25/23-0205.html
codehttps://github.com/izabelaguiar/NNTuck
twitter threadhttps://twitter.com/jugander/status/1534294069253263360
arxivhttps://arxiv.org/abs/2206.01804
Doubly-robust and heteroscedasticity-aware sample trimming for causal inferencehttps://academic.oup.com/biomet/advance-article/doi/10.1093/biomet/asae053/7818345
codehttps://github.com/skhan1998/heteroscedsatic_trimming/
twitter threadhttps://twitter.com/stats_samir/status/1620146723762114561
arxivhttps://arxiv.org/abs/2210.10171
The latent cognitive structures of social networkshttps://www.cambridge.org/core/journals/network-science/article/latent-cognitive-structures-of-social-networks/5C675C255AB9B9FE5A6A9F2E39E4909C
codehttps://github.com/izabelaguiar/CSS
arXivhttps://arxiv.org/abs/2309.11639
The Moderating Effect of Instant Runoff Votinghttps://arxiv.org/abs/2303.09734
codehttps://github.com/tomlinsonk/irv-moderation
Counterfactual Evaluation of Peer-Review Assignment Policieshttps://arxiv.org/abs/2305.17339
codehttps://github.com/msaveski/counterfactual-peer-review
NeurIPS videohttps://neurips.cc/virtual/2023/poster/70303
Embedding Societal Values into Social Media Algorithmshttps://tsjournal.org/index.php/jots/article/view/148
Model-Based Regression Adjustment with Model-Free Covariates for Network Interferencehttps://www.degruyter.com/document/doi/10.1515/jci-2023-0005/html
arXivhttps://arxiv.org/abs/2302.04997
Rank-heterogeneous Preference Models for School Choicehttps://arxiv.org/abs/2306.01801
codehttps://github.com/ameloa/rankingmodels
KDD videohttps://www.youtube.com/watch?v=UGoefFrc-qI
twitter threadhttps://twitter.com/jugander/status/1686411065242918912
Ballot length in instant runoff votinghttps://arxiv.org/abs/2207.08958
codehttps://github.com/tomlinsonk/irv-ballot-length
twitter threadhttps://twitter.com/kiran_tomlinson/status/1565757600335106050
Estimating geographic spillover effects of COVID-19 policies from large-scale mobility networkshttps://arxiv.org/abs/2212.06224
codehttps://github.com/snap-stanford/covid-spillovers
twitter threadhttps://twitter.com/jugander/status/1603125711673311233
Randomized Graph Cluster Randomizationhttps://www.degruyter.com/document/doi/10.1515/jci-2022-0014/html
codehttps://github.com/hyin-stanford/RGCR-code
arXivhttps://arxiv.org/abs/2009.02297
talk video, MIT IDEhttps://www.youtube.com/watch?v=7ya77spdIXs
twitter threadhttps://twitter.com/jugander/status/1306711032119701504
Adaptive normalization for IPW estimation https://www.degruyter.com/document/doi/10.1515/jci-2022-0019/html
codehttps://github.com/skhan1998/adaptive_normalization_experiments
arXivhttps://arxiv.org/abs/2106.07695
talk slides, UChicagohttps://jugander.github.io/papers/tukeytrotter-slides.pdf
twitter threadhttps://twitter.com/jugander/status/1415727614971375616
How to Quantify Polarization in Models of Opinion Dynamicshttps://arxiv.org/abs/2110.11981
To Recommend or Not? A Model-Based Comparison of Item-Matching Processeshttps://arxiv.org/abs/2110.11468
Comparing information diffusion mechanisms by matching on cascade sizehttps://www.pnas.org/content/118/46/e2100786118
codehttps://github.com/jonassjuul/FartherFasterDeeperBroader
Stanford Newshttps://news.stanford.edu/2021/10/25/foil-fake-news-focus-infectiousness/
twitter threadhttps://twitter.com/jonassjuul/status/1457819229118468107
Choice Set Confounding in Discrete Choicehttps://arxiv.org/abs/2105.07959
codehttps://github.com/tomlinsonk/choice-set-confounding
Which Node Attribute Prediction Task Are We Solving? Within-Network, Across-Network, or Across-Layer Taskshttps://ojs.aaai.org/index.php/ICWSM/article/view/18039
codehttps://github.com/kaltenburger/NetworkPredictionICWSM2021
Experience-Driven Peer Effects: Evidence from a Large Natural Experimenthttps://ojs.aaai.org/index.php/ICWSM/article/view/18044
codehttps://github.com/wicai/experience_driven
Evaluating stochastic seeding strategies in networkshttps://pubsonline.informs.org/doi/abs/10.1287/mnsc.2021.3963
arxiv pre-printhttps://arxiv.org/abs/1809.09561
codehttps://github.com/deaneckles/eval_stochastic_seeding
twitter threadhttps://twitter.com/jugander/status/1045012328360468480
Learning Rich Rankingshttps://arjunsesh.github.io/files/lrr_neurips.pdf
codehttps://github.com/arjunsesh/lrr-neurips
twitter threadhttps://twitter.com/jugander/status/1336096331518017537
Scaling Choice Models of Relational Social Datahttps://arxiv.org/abs/2006.10003
talk slides, SIAMNShttps://jugander.github.io/papers/kdd20-scalingc2g-slides.pdf
codehttps://github.com/janovergoor/choose2grow/
twitter threadhttps://twitter.com/jugander/status/1280994087982620674
Prioritized Restreaming Algorithms for Balanced Graph Partitioninghttps://arxiv.org/abs/2007.03131
talk slides, SIAMNShttps://jugander.github.io/papers/kdd20-streamorder-slides.pdf
codehttps://github.com/ameloa/streamorder
twitter threadhttps://twitter.com/jugander/status/1281302498985177089
An Experimental Study of Structural Diversity in Social Networkshttps://aaai.org/ojs/index.php/ICWSM/article/view/7332
talk slides, CODE@MIT17https://jugander.github.io/icwsm20-diversity-slides.pdf
arXiv pre-printhttps://arxiv.org/abs/1909.03543
twitter threadhttps://twitter.com/jugander/status/1171820911638368256
Measuring Directed Triadic Closure with Closure Coefficientshttps://www.cs.cornell.edu/~arb/papers/directed-closure-NWS-2020.pdf
codehttps://github.com/arbenson/ClosureCoefficients.jl
arXiv pre-printhttps://arxiv.org/abs/1905.10683
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choicehttps://arxiv.org/abs/2001.07042
talk video, EChttps://www.youtube.com/watch?v=R0uNwDc71eY
talk slides, EChttps://jugander.github.io/ec19-iia-slides.pdf
twitter threadhttps://twitter.com/jugander/status/1220156283413659648
Discovering Context Effects from Raw Choice Datahttps://arxiv.org/abs/1902.03266
talk slides, ICMLhttps://icml.cc/media/Slides/icml/2019/201(13-11-00)-13-12-05-4978-discovering_con.pdf
codehttps://github.com/arjunsesh/cdm-icml
twitter threadhttps://twitter.com/jugander/status/1139216386247446528
Choosing To Grow a Graph: Modeling Network Formation as Discrete Choicehttps://arxiv.org/abs/1811.05008
talk slides, NetSci19https://www.slideshare.net/arbenson/choosing-to-grow-a-graph
codehttps://github.com/janovergoor/choose2grow/
twitter threadhttps://twitter.com/jugander/status/1062799885458501632
Decoupled smoothing on graphshttps://dl.acm.org/citation.cfm?id=3313748
talk slides, WWWhttps://jugander.github.io/www19-decoupled-slides.pdf
codehttps://github.com/YatongChen/decoupled_smoothing_on_graphs
Parametric Models for Intransitivity in Pairwise Rankingshttps://dl.acm.org/citation.cfm?id=3313717
A Personalized BDM Mechanism for Efficient Market Intervention Experimentshttps://dl.acm.org/citation.cfm?id=3219220
talk slides, EChttps://jugander.github.io/papers/ec18-pbdm-slides.pdf
codehttps://github.com/imanolarrieta/pbdm-mechanism
Monophily in social networks introduces similarity among friends-of-friendshttp://rdcu.be/JnZf
Supplementary Informationhttps://static-content.springer.com/esm/art%3A10.1038%2Fs41562-018-0321-8/MediaObjects/41562_2018_321_MOESM1_ESM.pdf
NHB pagehttps://www.nature.com/articles/s41562-018-0321-8
arXiv pre-printhttp://arxiv.org/abs/1705.04774
codehttps://github.com/kaltenburger/homophily_monophily_NHB
Configuring Random Graph Models with Fixed Degree Sequenceshttps://epubs.siam.org/doi/abs/10.1137/16M1087175
talk slides, NetSci17https://jugander.github.io/papers/sirev18-cm-slides.pdf
arXiv pre-printhttps://arxiv.org/abs/1608.00607
codehttps://github.com/joelnish/double-edge-swap-mcmc
Comparison-Based Choiceshttp://arxiv.org/abs/1705.05735
talk slides, EChttps://jugander.github.io/papers/ec17-choices-slides.pdf
talk video, EChttps://www.youtube.com/watch?v=gFZIRg29jX0
Design and analysis of experiments in networks: Reducing bias from interferencehttps://jugander.github.io/papers/jci17-designanalysis.pdf
arXiv pre-printhttps://arxiv.org/abs/1404.7530
talk slides, CODE@MIT14https://jugander.github.io/papers/jci17-designanalysis-code2014-slides.pdf
Block models and personalized PageRankhttp://www.pnas.org/content/114/1/33.abstract
talk slides, Google Researchhttps://jugander.github.io/papers/pnas17-sbmppr-slides.pdf
arXiv pre-printhttps://arxiv.org/abs/1607.03483
Pairwise Choice Markov Chainshttps://jugander.github.io/papers/nips16-pcmc.pdf
talk slides, CODE@MIT17https://jugander.github.io/papers/nips16-pcmc-slides.pdf
Code and datahttps://github.com/sragain/pcmc-nips
The Wisdom of Multiple Guesseshttps://jugander.github.io/papers/ec15-multipleguesses.pdf
talk slides, EChttps://jugander.github.io/papers/ec15-multipleguesses-slides.pdf
Code and datahttps://github.com/rdrapeau/Wisdom-of-Multiple-Guesses-Scripts
Assembling thefacebook: Using Heterogeneity to Understand Online Social Network Assemblyhttp://arxiv.org/abs/1503.06772
talk slides, ICCSS16https://jugander.github.io/papers/websci15-thefacebook-slides.pdf
Supplementary datahttps://azjacobs.com/fb100/
Graph Cluster Randomization: Network Exposure to Multiple Universeshttp://arxiv.org/abs/1305.6979
talk video, KDDhttp://videolectures.net/kdd2013_ugander_multiple_universes/
Restreaming Graph Partitioning: Simple Versatile Algorithms for Advanced Balancinghttps://jugander.github.io/papers/kdd13-restream.pdf
Cython implementationhttp://nbviewer.ipython.org/github/justinvf/algorithmshop/blob/master/20131213-graph-partitioning/20131213-graph-partitioning.ipynb
Justin Vincenthttp://algorithmshop.com/
Subgraph Frequencies: Mapping the Empirical and Extremal Geography of Large Graph Collectionshttps://jugander.github.io/papers/www13-subgraphs.pdf
talk slides, WWWhttps://jugander.github.io/papers/www13-subgraphs-slides.pdf
Summary and R codehttps://jugander.github.io/subgraphs/
talk videohttps://vod.video.cornell.edu/media/CAM+Colloquium%2C+2013-11-01+-+John+KleinbergA+Network+Neighborhoods+and+the+Dispersion+of+Social+Ties/1_a3zlp3oy
On the Interplay Between Social and Topical Structurehttp://arxiv.org/abs/1112.1115
talk slides, ICWSMhttps://jugander.github.io/papers/icwsm13-social-topical-structure-slides.pdf
Balanced Label Propagation for Partitioning Massive Graphshttps://jugander.github.io/papers/wsdm13-blp.pdf
talk slides, WSDMhttps://jugander.github.io/papers/wsdm13-blp-slides.pdf
Structural Diversity in Social Contagionhttp://www.pnas.org/content/109/16/5962
talk slides, NetScihttps://jugander.github.io/papers/pnas12-structuraldiversity-netsci-slides.pdf
The Anatomy of the Facebook Social Graph.http://arxiv.org/abs/1111.4503
Four Degrees of Separationhttps://jugander.github.io/papers/websci12-fourdegrees.pdf
HyperANF metadata and degree distributionshttp://law.di.unimi.it/datasets.php
A Concave Regularization Technique for Sparse Mixture Modelshttps://jugander.github.io/papers/nips11-concaveregularization.pdf
NIPS posterhttps://jugander.github.io/papers/nips11-concaveregularization-poster.pdf
Analysis of a Digital Clock for Molecular Computinghttps://jugander.github.io/papers/acc07-clock.pdf
Choosing to Rankhttps://arxiv.org/abs/1809.05139
Improving pairwise comparison models using Empirical Bayes shrinkagehttps://arxiv.org/abs/1807.09236
Computational Perspectives on Large-Scale Social Networkshttps://jugander.github.io/papers/jugander_phdthesis.pdf
Efficiency and Fragility in Loss Networkshttps://jugander.github.io/papers/jugander_partiii_efficiencyfragility_lossnetworks.pdf
Delay-dependent Stability of Genetic Regulatory Networkshttps://jugander.github.io/papers/jugander_mastersthesis_delaystability.pdf
Winter 2023https://msande135.github.io/
Winter 2022https://jugander.github.io/mse135_w21/
Winter 2021https://jugander.github.io/mse135_w21/
Winter 2020https://jugander.github.io/mse135_w20/
Winter 2019https://jugander.github.io/mse135_w19/
Spring 2018https://jugander.github.io/mse135_s18/
Winter 2017https://jugander.github.io/mse135_w17/
Spring 2016https://jugander.github.io/mse135_s16/
Fall 2022https://mse231.github.io/
Winter 2022https://web.stanford.edu/group/msande234/cgi-bin/wordpress/
Fall 2018https://jugander.github.io/mse334/
Fall 2017https://jugander.github.io/mse334_f17
Fall 2016https://jugander.github.io/mse334_f16/
Fall 2015https://jugander.github.io/mse334_f15/
Spectral theory for planar graphshttps://jugander.github.io/notes/CS6822_Lecture8_SpielmanTeng.pdf
Algorithms for Causal Inference on Networkshttps://jugander.github.io/crii/
1657104https://www.nsf.gov/awardsearch/showAward?AWD_ID=1657104
Yale FDS: New Directions in Social Algorithms Researchhttps://yalefds.swoogo.com/socialalgorithms
Fifth Annual SIAM Workshop on Network Science (SIAM NS)http://www.siam.org/meetings/ns18/
IPAM Cultural Analytics Workshop on Cultural Patternshttp://www.ipam.ucla.edu/programs/workshops/workshop-iii-cultural-patterns-multiscale-data-driven-models/
NIPS Workshop on Networks in the Social and Information Scienceshttps://jugander.github.io/NetworksNIPS2015/
JMM Special Session on Network Sciencehttps://jointmathematicsmeetings.org/meetings/national/jmm2015/2168_program_ss59.html
NIPS Workshop on Networks: From Graphs to Rich Datahttp://tinyurl.com/NetworksNIPS2014
Spotlight on Early-Career Researchers interviewhttps://communities.springernature.com/posts/an-interview-with-dr-johan-ugander
Friends of Friends Can Reveal Hidden Information about a Personhttps://www.scientificamerican.com/article/friends-of-friends-can-reveal-hidden-information-about-a-person1/
Lost and Foundhttp://www.bbc.co.uk/programmes/b078xpfd
Network Archaeologists Discover Two Types of Social Network Growthhttp://www.technologyreview.com/view/536446/network-archaeologists-discover-two-types-of-social-network-growth-in-historical/
Studying Your Users: Facebook's Greatest Hitshttp://blogs.wsj.com/corporate-intelligence/2014/06/30/studying-your-users-facebooks-greatest-hits/
Large-scale graph partitioning with Apache Giraphhttps://code.facebook.com/posts/274771932683700/large-scale-graph-partitioning-with-apache-giraph/
Exploring the Space of Human Interactionhttp://www.wired.com/wiredscience/2013/04/exploring-the-space-of-human-interaction/
Q&A: Why you have fewer friends than your friends on Facebookhttp://www.smartplanet.com/blog/pure-genius/q-a-why-you-have-fewer-friends-than-your-friends-do-on-facebook/8863
Friends You Can Count Onhttp://opinionator.blogs.nytimes.com/2012/09/17/friends-you-can-count-on/
Computational Social Science: Making the Linkshttp://www.nature.com/news/computational-social-science-making-the-links-1.11243
SIAM Annual Meeting 2012 Highlightshttp://www.ams.org/meetings/siam-2012#facebook
How Facebook "Contagion" Spreadshttp://news.sciencemag.org/sciencenow/2012/04/how-facebook-contagion-spreads.html
Variety, Not Viral Spread, is Key to Facebook Growthhttp://www.newscientist.com/article/dn21660-variety-not-viral-spread-is-key-to-facebook-growth.html
Social Contagion: Conflicting Ideashttp://www.economist.com/blogs/babbage/2012/04/social-contagion
The Sun Never Setshttp://www.economist.com/blogs/graphicdetail/2012/03/daily-chart-12
Facebook: British Empire Still Shapes Friendship Patternshttp://www.telegraph.co.uk/technology/facebook/9160439/Facebook-British-Empire-still-shapes-friendship-patterns.html
4.74 Degrees of Separationhttp://www.marketplace.org/topics/economy/mid-day-update/mid-day-extra-474-degrees-separation
Facebook Study: It's a Small(er) World After Allhttp://www.wired.com/business/2011/11/facebook-social-graph-study/
4.74 - Facebook Wins By Getting Us Closer Than Six Degreeshttp://techcrunch.com/2011/11/22/facebookdata/
Between You and Me? 4.74 Degreeshttp://www.nytimes.com/2011/11/22/technology/between-you-and-me-4-74-degrees.html
scholarfyhttps://jugander.github.io/bookmarklets/scholarfy.html
JSTORpdfhttps://jugander.github.io/bookmarklets/jstor.html
googURLhttps://jugander.github.io/bookmarklets/googurl.html
West Maiden, Southwest Face And Other Climbs, Arrigetch Peaks, Brooks Range, Alaskahttp://publications.americanalpineclub.org/articles/13201213601/West-Maiden-Southwest-Face-And-Other-Climbs
Ingalls Peak Traverse, Cascade Range, Washingtonhttp://cascadeclimbers.com/forum/ubbthreads.php?ubb=showflat&Number=1129979
Backbone Ridge, Dragontail Peak, Cascade Range, Washingtonhttp://cascadeclimbers.com/forum/ubbthreads.php/topics/1133088/TR_Dragontail_Peak_Backbone_Ri
Rio de Janeiro, Brazilhttp://www.supertopo.com/tr/Rocks-in-Rio/t12314n.html
competitivelyhttp://ultrasignup.com/results_participant.aspx?fname=Johan&lname=Ugander&age=33
Cryofronthttps://jugander.github.io/cryofront/
National Weather Service probabilistic snow forecastshttp://www.wpc.ncep.noaa.gov/pwpf/wwd_accum_probs.php?ftype=probabilities&fpd=72&ptype=snow
OpenSnow Tahoe bloghttps://opensnow.com/dailysnow/tahoe
ForecastAdvisor.comhttps://www.forecastadvisor.com/Connecticut/NewHaven/06515/

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