Professor in Political Science and Computer and Information Science

David Lazer

computational social science

Peer Reviewed Computer Science Conference
Publication date: 
05/2013
Authors: 
Yu-Ru Lin
Drew B. Margolin
Brian Keegan
David Lazer

Social media have been employed to assess public opinions on events, markets, and policies. Most current work focuses on either developing aggregated measures or opinion extraction methods like sentiment analysis. These approaches suffer from unpredictable turnover in the participants and the information they react to, making it difficult to distinguish meaningful shifts from those that follow from known information.

Keywords: 
real time system
social meter
public opinion
data-driven journalism
process inference
computational social science
Peer Reviewed Computer Science Conference
Publication date: 
02/2016
Authors: 
David Lazer
Oren Tsur
Tina Eliassi-Rad

"Man is by nature a political animal," as asserted by Aristotle. This political nature manifests itself in the data we produce and the traces we leave online. In this tutorial, we address a number of fundamental issues regarding mining of political data: What types of data would be considered political? What can we learn from such data? Can we use the data for prediction of political changes, etc?

Keywords: 
computational social science
political data
social and information networks
graph mining.
Journal Article
Publication date: 
05/2015
Authors: 
Jameson L. Toole
Yu-Ru Lin
Erich Muehlegger
Daniel Shoag
Marta C Gonzalez
David Lazer

Can data from mobile phones be used to observe economic shocks and their consequences at multiple scales? Here we present novel methods to detect mass layoffs, identify individuals affected by them and predict changes in aggregate unemployment rates using call detail records (CDRs) from mobile phones.

Keywords: 
unemployment
computational social science
social networks
mobility
complex systems
Journal Article
Publication date: 
08/2012
Authors: 
Allan Friedman
David Lazer

Whether as team members brainstorming or cultures experimenting with new technologies, problem solvers communicate and share ideas. This paper examines how the structure of communication networks among actors can affect system-level performance. We present an agent-based computer simulation model of information sharing in which the less successful emulate the more successful.

Keywords: 
network structure
exploration
exploitation
computational social science
Journal Article
Publication date: 
08/2012
Authors: 
David Lazer
Alex `Sandy' Pentland
Lada Adamic
Sinan Aral
Albert-Laszlo Barabasi
Devon Brewer
Nicholas A. Christakis
Noshir Contractor
James Fowler
Myron Gutmann
Tony Jebara
Gary King
Michael Macy
Deb Roy
Marshall Van Alstyne

We live life in the network. We check our e-mails regularly, make mobile phone calls from almost any location, swipe transit cards to use public transportation, and make purchases with credit cards. Our movements in public places may be captured by video cameras, and our medical records stored as digital files. We may post blog entries accessible to anyone, or maintain friendships through online social networks.

Keywords: 
computational social science
social science
Working Paper
Publication date: 
12/2011
Authors: 
David Lazer
Ines Mergel
Jason Greenberg
Maria C. Binz-Scharf

Social capital is currently one of social structure‘s most prominent and debated manifestations. However, we have a limited understanding of how social ties as the basis of social capital form in the first place. From one perspective social capital is viewed as: "investment in social relations with expected returns in the marketplace" (Lin 2001, p. 19).

Keywords: 
Network science
computational social science
political science
organizational behavior
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