jakehofman.com

research

publications

Prediction and explanation in social systems
Jake M. Hofman, Amit Sharma, Duncan J. Watts
Science, 2017 pdf

Improving Comprehension of Numbers in the News
Pablo J. Barrio, Daniel G. Goldstein, Jake M. Hofman
34th ACM Conference on Human Factors in Computing (CHI 2016) pdf

Exploring limits to prediction in complex social systems
Travis Martin, Jake M. Hofman, Amit Sharma, Ashton Anderson, Duncan J. Watts
25th International World Wide Web Conference (WWW 2016) pdf

Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake M Hofman, Emre Kıcıman, David Rothschild
PloS one, 11(1), e0145406 pdf

The Structural Virality of Online Diffusion
Sharad Goel, Ashton Anderson, Jake M. Hofman, and Duncan Watts.
Management Science (2015) pdf

Estimating the causal impact of recommendation systems from observational data
Amit Sharma, Jake M. Hofman, and Duncan J. Watts
16th ACM Conference on Economics and Computation (EC 2015) pdf

Scalable Recommendation with Poisson Factorization
Prem Gopalan, Jake M. Hofman, David M. Blei.
31st Conference on Uncertainty in Artificial Intelligence (UAI 2015) pdf

A Large-scale Exploration of Group Viewing Patterns
Allison Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, and Ulrich Paquet.
1st International Conference on Interactive Experiences for Television and Online Video (TVX 2014) pdf

Sharding Social Networks
Quang Duong, Sharad Goel, Jake M. Hofman and Sergei Vassilvitskii.
6th International Conference on Web Search and Data Mining (WSDM 2013) pdf

Who Does What on the Web: Studying Web Browsing Behavior at Scale
Sharad Goel, Jake M. Hofman, M. Irmak Sirer
6th International Conference on Weblogs and Social Media (ICWSM 2012) pdf

Who Says What to Whom on Twitter
Shaomei Wu, Jake M. Hofman, Winter A. Mason, Duncan J. Watts
20th International World Wide Web Conference (WWW 2011) pdf

Everyone's an influencer: quantifying influence on twitter
Eytan Bakshy, Jake M. Hofman, Winter A. Mason, Duncan J. Watts
4th International Conference on Web Search and Data Mining (WSDM 2011) pdf

Predicting consumer behavior with Web search
Sharad Goel, Jake M. Hofman, Sebastien Lahaie, David M. Pennock, Duncan J. Watts
Proceedings of the National Academy of Sciences (PNAS 2010) pdf, blog post

Inferring relevant social networks from interpersonal communication
Munmun De Choudry, Winter A. Mason, Jake M. Hofman, Duncan J. Watts
19th International World Wide Web Conference (WWW 2010) pdf

Learning Rates and States from Biophysical Time Series:
A Bayesian Approach to Model Selection and Single-Molecule FRET Data

Jonathan E. Bronson, Jingyi Fei, Jake M. Hofman, Ruben L. Gonzalez, Jr, and Chris H. Wiggins
Biophysical Journal (2009) pdf

Allosteric collaboration between elongation factor G and the ribosomal L1 stalk directs tRNA movements during translation
Jingyi Fei, Jonathan E. Bronson, Jake M. Hofman, Rathi L. Srinivas, Chris H. Wiggins and Ruben L. Gonzalez, Jr
Proceedings of the National Academy of Sciences (2009) pdf

Characterizing Individual Communication Patterns
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amaral, and Duncan J. Watts
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2009) pdf

CentMail: Rate Limiting via Certified Micro-Donations
Sharad Goel, Jake M. Hofman, John Langford, David M. Pennock, and Daniel M. Reeves
18th International World Wide Web Conference, Developer's Track (WWW 2009) pdf

Inferring the Structure and Scale of Modular Networks
Jake M. Hofman, Chris H. Wiggins
Mining and Learning with Graphs (2008) pdf

A Bayesian Approach to Network Modularity
Jake M. Hofman, Chris H. Wiggins
Phys. Rev. Lett. 100, 258701 (2008) pdf  code

Quantification of Cell Edge Velocities and Traction Forces Reveals Distinct Motility Modules during Cell Spreading
Benjamin J. Dubin-Thaler, Jake M. Hofman, Yunfei Cai, Harry Xenias, Ingrid Spielman, Anna V. Shneidman, Lawrence A. David, Hans-Gunther Dobereiner, Chris H. Wiggins, Michael P. Sheetz
PLoS ONE 3(11): e3735 (2008) pdf

Opposing Effects of PKC{theta} and WASp on Symmetry Breaking and Relocation of the Immunological Synapse
Tasha N. Sims, Timothy J. Soos, Harry S. Xenias, Benjamin Dubin-Thaler, Jake M. Hofman, Janelle C. Waite, Thomas O. Cameron, V. Kaye Thomas, Rajat Varma, Chris H. Wiggins, Michael P. Sheetz, Dan R. Littman, and Michael L. Dustin
Cell 129:773-785 (2007) pdf

Nonmuscle Myosin IIA-dependent Force Inhibits Cell Spreading and Drives F-actin Flow
Yunfei Cai, Nicolas Biais, Gregory Giannone, Monica Tanase, Benoit Ladoux, Jake M. Hofman, Chris H. Wiggins and Michael P. Sheetz
Biophysical Journal, 91:3907-3920 (2006) pdf

Lateral Membrane Waves Constitute a Universal Dynamic Pattern of Motile Cells
Hans-Guenther Dobereiner, Benjamin J. Dubin-Thaler, Jake M. Hofman, Harry S. Xenias, Tasha N. Sims, Gregory Giannone, Michael L. Dustin, Chris H. Wiggins, and Michael P. Sheetz
Phys. Rev. Lett. 97:038102 (2006) pdf

The small GTPase R-Ras regulates organization of actin and drives membrane protrusions through the activity of PLC{epsilon}
Aude S. Ada-Nguema, Harry Xenias, Jake M. Hofman, Chris H. Wiggins, Michael P. Sheetz and Patricia J. Keely
Journal of Cell Science 119:1307-1319 (2006) pdf

selected talks

2010.01.14: "an introduction to bayesian inference", nyc ml meetup, slides part 1, part 2
2009.10.02: "social network analysis with hadoop", hadoopworld nyc 2009, slides as pdf
2009.07.09: "bayesian inference: principles and practice", nyc r meetup, slides as pdf
2008.12.07: "bayesian statistics and massive data streams", japanese-american kavli frontiers, abstract
2008.12.04: "community detection: model fitting, comparison, and utility", abstract, slides
2008.07.04: "inferring the structure and scale of modular networks", mlg 2008: slides as pdf, video
2008.03.12: "a bayesian approach to network modularity", aps march meeting: slides as pdf
2007.12.08: "a bayesian approach to network modularity", nips 2007 workshop: slides as pdf or quicktime
2007.10.31: "simple math for a complex world: random walks in biology and finance": slides, notes, movies
2007.10.19: "a bayesian approach to network modularity", apam: slides as pdf or quicktime
2007.09.28: "using time wisely in research: computer tools for keeping up + collborating": slides
2007.07.18: "machine learning tutorial", boulder summer school: slides, demos

links

chris wiggins, phd advisor, associate professor of applied mathematics in dept of applied physics and applied mathematics at columbia
the sheetz lab, collaborators; cell biology lab at columbia
the gonzalez lab, collaborators; single-molecule lab in columbia's chemistry department