June 2, 2014

Topic-based Clusters in Egocentric Networks on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

Homophily suggests that people tend to befriend others with shared traits, such as similar topical interests or overlapping social circles. We study how people communicate online in term of conversati…

Lilian Weng, Thomas Lento
June 2, 2014

Rumor Cascades

AAAI Conference on Weblogs and Social Media (ICWSM)

Online social networks provide a rich substrate for rumor propagation. Information received via friends tends to be trusted, and online social networks allow individuals to transmit information to man…

Adrien Friggeri, Lada Adamic, Dean Eckles, Justin Cheng
May 8, 2014

Joint Inference of Multiple Label Types in Large Networks

International Conference on Machine Learning (ICML)

We tackle the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels. Our primary…

Deepayan Chakrabarti, Stano Funiak, Jonathan Chang, Sofus Attila Macskássy
April 26, 2014

Incentives to Participate in Online Research: An Experimental Examination of “Surprise” Incentives

ACM Conference on Human Factors in Computing Systems (CHI)

In this work, we present four experiments examining how two different kinds of ‘surprise’ financial incentives affect the rate of participation in a longitudinal study when participants are initially solicited with either an appeal to intrinsic motivation to participate in research or one that also offers extrinsic financial incentives.

Andrew Tresolini Fiore, Coye Cheshire, Lindsay Shaw Taylor, G.A. Mendelsohn
April 26, 2014

Visually Impaired Users on an Online Social Network

ACM Conference on Human Factors in Computing Systems (CHI)

In this paper we present the first large-scale empirical study of how visually impaired people use online social networks, specifically Facebook. We identify a sample of 50K visually impaired users, a…

Shaomei Wu, Lada Adamic
April 26, 2014

Growing Closer on Facebook: Changes in Tie Strength Through Site Use

ACM Conference on Human Factors in Computing (CHI)

Scientists debate whether people grow closer to their friends through social networking sites like Facebook, whether those sites displace more meaningful interaction, or whether they simply reflect existing ties.

Moira Burke, Robert Kraut
April 11, 2014

Designing and Deploying Online Field Experiments

International World Wide Web Conference (WWW)

Online experiments are widely used to compare specific design alternatives, but they can also be used to produce generalizable knowledge and inform strategic decision making. Doing so often requires sophisticated experimental designs, iterative refinement, and careful logging and analysis.

Eytan Bakshy, Dean Eckles, Michael Bernstein
April 7, 2014

Can cascades be predicted?

International World Wide Web Conference (WWW)

On many social networking web sites such as Facebook and Twitter, resharing or reposting functionality allows users to share others’ content with their own friends or followers. As content is reshared…

Justin Cheng, Lada Adamic, Alex Dow, Jon Kleinberg, Jure Leskovec
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…

Lars Backstrom, Jon Kleinberg
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…

Robert Kraut, Andrew Tresolini Fiore
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.

Cliff Lampe, Rebecca Gray, Andrew Tresolini Fiore, Nicole Ellison
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…

Denis Charles, Dipankar Ray, Ed Snelson, Elon Portugaly, Joaquin Quinonero Candela, Leon Bottou, Max Chickering, Patrice Simard
August 12, 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.

Johan Ugander, Brian Karrer, Lars Backstrom, Jon Kleinberg
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…

Dan Zhang, Jingrui He, Richard Lawrence
August 9, 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.

Eytan Bakshy, Dean Eckles
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.

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…

Nicole Ellison, Rebecca Gray, Jessica Vitak, Cliff Lampe, Andrew Tresolini Fiore
July 8, 2013

The Anatomy of Large Facebook Cascades

AAAI Conference on Weblogs and Social Media (ICWSM)

When users post photos on Facebook, they have the option of allowing their friends, followers, or anyone at all to subsequently reshare the photo. A portion of the billions of photos posted to Facebook generates cascades of reshares, enabling many additional users to see, like, comment, and reshare the photos.

Alex Dow, Lada Adamic, Adrien Friggeri
July 8, 2013

Families on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

This descriptive study of millions of US Facebook users documents “friending” and communication patterns, exploring parent-child relationships across a variety of life stages and gender combinations.

Moira Burke, Lada Adamic, Karyn Marciniak
July 2, 2013

Self-censorship on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

We report results from an exploratory analysis examining “last-minute” self-censorship, or content that is filtered after being written, on Facebook. We collected data from 3.9 mil-lion users over 17 days and associate self-censorship behavior with features describing users, their social graph, and the interactions between them.AAAI Conference on Weblogs and Social Media (ICWSM)

Sauvik Das, Adam D. I. Kramer