1.2k citations · 1.9k across the 21 of their papers we have counts for
5 papers · 1 filter
Split-door criterion: Identification of causal effects through auxiliary outcomes
Amit Sharma, Jake M. Hofman, Duncan J. Watts
We present a method for estimating causal effects in time series data when fine-grained information about the outcome of interest is available. Specifically, we examine what we cal…
Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior
Samuel Barbosa, Dan Cosley, Amit Sharma +1
Online communities provide a fertile ground for analyzing people's behavior and improving our understanding of social processes. Because both people and communities change over tim…
Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds
Amit Sharma, Dan Cosley
Many online social networks thrive on automatic sharing of friends' activities to a user through activity feeds, which may influence the user's next actions. However, identifying s…
Predictability of Popularity: Gaps between Prediction and Understanding
Benjamin Shulman, Amit Sharma, Dan Cosley
Can we predict the future popularity of a song, movie or tweet? Recent work suggests that although it may be hard to predict an item's popularity when it is first introduced, peeki…
Exploring limits to prediction in complex social systems
Travis Martin, Jake M. Hofman, Amit Sharma +2
How predictable is success in complex social systems? In spite of a recent profusion of prediction studies that exploit online social and information network data, this question re…