Network performance

how groups coordinate, seek knowledge, optimize and reach success

This work focuses on the social dynamics of knowledge exchange and learning that drive collaboration, collective intelligence, and discovery. Most problem-solving tasks are carried out in group or team settings, and require complex interactions that involve cognitive, social and informational exchange. The goal is to develop rigorous models and techniques to understand how groups reach consensus, achieve breakthroughs, and perform in groups.

Featured publications

Measuring algorithmically infused societies

Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kıcıman, Noshir Contractor, Tina Eliassi-Rad
Nature
June 30, 2021

Network medicine framework for identifying drug-repurposing opportunities for COVID-19

Deisy Morselli Gysi, Ítalo do Valle, Marinka Zitnik, Asher Ameli, Xiao Gan, Onur Varol, Susan Dina Ghiassian, J. J. Patten, Robert A. Davey, Joseph Loscalzo, Albert-László Barabási
PNAS
March 30, 2021

A wealth of discovery built on the Human Genome Project — by the numbers

Alexander J. Gates, Deisy Morselli Gysi, Manolis Kellis & Albert-László Barabási
Nature
February 10, 2021

Recent publications

The hidden influence of communities in collaborative funding of clinical science

Kishore Vasan, Jevin D. West
The Royal Society Publishing
August 25, 2021

Using Administrative Records and Survey Data to Construct Samples of Tweeters and Tweets

Adam G Hughes, Stefan D McCabe, William R Hobbs, Emma Remy, Sono Shah, David M J Lazer
Public Opinion Quarterly
August 5, 2021

Backfire effects after correcting misinformation are strongly associated with reliability

Briony Swire-Thompson, Nicholas Miklaucic, John Wihbey, David Lazer, Joseph DeGutis
PsyArXiv Preprints
July 12, 2021

Measuring algorithmically infused societies

Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kıcıman, Noshir Contractor, Tina Eliassi-Rad
Nature
June 30, 2021

Network medicine framework for identifying drug-repurposing opportunities for COVID-19

Deisy Morselli Gysi, Ítalo do Valle, Marinka Zitnik, Asher Ameli, Xiao Gan, Onur Varol, Susan Dina Ghiassian, J. J. Patten, Robert A. Davey, Joseph Loscalzo, Albert-László Barabási
PNAS
March 30, 2021
View more

Featured news coverage

Why Experts Reject Creativity

The Atlantic, October 2014

Featured project

The Science of Success project focuses on developing measures and methods to model and predict success in a range of settings that have quantifiable indicators of performance (e.g., science, sports, software development). Driven by the hypothesis that success is not an individual phenomenon, but rather a collective one, we use large-scale data sets to identify patterns of career paths, individual and team performance, and the dynamics of impact and attribution. Findings offer actionable information towards a quantitative evaluation of success in a diverse range of competitive settings, from science to sports to software development.

Major funders

DARPA, Army Research Office, AFOSR