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Year Published

95 Results

February 18, 2014

Help is on the Way: Patterns of Responses to Resource Requests on Facebook

ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW)

Research suggests that social network sites can support social capital exchanges, which are often triggered by requests for assistance, such as seeking recommendations or asking for favors. In this paper, we study public status updates posted to Facebook in order to identify the pattern of responses to status updates that attempt to mobilize resources from the poster’s Facebook network.

By: Cliff Lampe, Rebecca Gray, Andrew Tresolini Fiore, Nicole Ellison
February 18, 2014

The Role of Founders in Building Online Groups

ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW)

As a class, online groups are popular, but many die before they become successful. This research traced the fate of 472,231 new online groups. By the end of a 3-month observation period, 57% of the gr…

By: Robert Kraut, Andrew Tresolini Fiore
February 18, 2014

Romantic Partnerships and the Dispersion of Social Ties: A Network Analysis of Relationship Status on Facebook

ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW)

A crucial task in the analysis of on-line social-networking systems is to identify important people — those linked by strong social ties — within an individual’s network neighborhood. Here we investig…

By: Lars Backstrom, Jon Kleinberg
December 16, 2013

Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising

Journal of Machine Learning Research (JMLR)

This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system. Such p…

By: Denis Charles, Dipankar Ray, Ed Snelson, Elon Portugaly, Joaquin Quinonero Candela, Leon Bottou, Max Chickering, Patrice Simard
August 11, 2013

Uncertainty in Online Experiments with Dependent Data: An Evaluation of Bootstrap Methods

ACM Conference on Knowledge Discovery and Data Mining (KDD)

Many online experiments exhibit dependence between users and items. For example, in online advertising, observations that have a user or an ad in common are likely to be associated. Because of this, even in experiments involving millions of subjects, the difference in mean outcomes between control and treatment conditions can have substantial variance. Previous theoretical and simulation results demonstrate that not accounting for this kind of dependence structure can result in confidence intervals that are too narrow, leading to inaccurate hypothesis tests.

By: Eytan Bakshy, Dean Eckles
August 11, 2013

Graph Cluster Randomization: Network Exposure to Multiple Universes

ACM Conference on Knowledge Discovery and Data Mining (KDD)

A drawback with A/B testing is that it is poorly suited for experiments involving social interference, when the treatment of individuals spills over to neighboring individuals along an underlying social network. In this work, we propose a novel methodology using graph clustering to analyze average treatment effects under social interference.

By: Johan Ugander, Brian Karrer, Lars Backstrom, Jon Kleinberg
August 11, 2013

Representing Documents Through Their Readers

ACM Conference on Knowledge Discovery and Data Mining (KDD)

From Twitter to Facebook to Reddit, users have become accustomed to sharing the articles they read with friends or followers on their social networks. While previous work has modeled what these shared stories say about the user who shares them, the converse question remains unexplored: what can we learn about an article from the identities of its likely readers?

By: Khalid El-Arini, Min Xu, Emily Fox, Carlos Guestrin
August 11, 2013

MI2LS: Multi-Instance Learning from Multiple Information Sources

ACM Conference on Knowledge Discovery and Data Mining (KDD)

In Multiple Instance Learning (MIL), each entity is normally expressed as a set of instances. Most of the current MIL methods only deal with the case when each instance is represented by one type of f…

By: Dan Zhang, Jingrui He, Richard Lawrence
July 16, 2013

Selection Effects in Online Sharing: Consequences for Peer Adoption

ACM Conference on Electronic Commerce (EC)

Most models of social contagion take peer exposure to be a corollary of adoption, yet in many settings, the visibility of one’s adoption behavior happens through a separate decision process. In online systems, product designers can define how peer exposure mechanisms work: adoption behaviors can be shared in a passive, automatic fashion, or occur through explicit, active sharing.

By: Sean J. Taylor, Eytan Bakshy, Sinan Aral
July 9, 2013

Calling All Facebook Friends: Exploring requests for help on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

Past research suggests Facebook use is linked to perceptions of social capital, a concept that taps into the resources people gain from interactions with their social network. In this study, we examin…

By: Nicole Ellison, Rebecca Gray, Jessica Vitak, Cliff Lampe, Andrew Tresolini Fiore