35 citations · 75 across the 6 of their papers we have counts for
8 papers
Predicting Bot Vulnerability from Posting Trajectories: Censored Functional Regression under Informative Sampling
Jake Koerner, Ana-Maria Staicu, Caitrin Murphy +4
In this manuscript, we propose a novel framework for Scalar-on Censored Informative-design Functional Regression or SoCIFR. This setting is increasingly common in modern longitudin…
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks
Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…
The Effects of Information Overload on Online Conversation Dynamics
Chathika Gunaratne, Nisha Baral, William Rand +3
The inhibiting effects of information overload on the behavior of online social media users, can affect the population-level characteristics of information dissemination through on…
Computational landscape of user behavior on social media
David Darmon, William Rand, Michelle Girvan
With the increasing abundance of 'digital footprints' left by human interactions in online environments, e.g., social media and app use, the ability to model complex human behavior…
Evidence of Herding and Stubbornness in Jury Deliberations
Keith Burghardt, William Rand, Michelle Girvan
We explore how the mechanics of collective decision-making, especially of jury deliberation, can be inferred from macroscopic statistics. We first hypothesize that the dynamics of…
The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange
Keith Burghardt, Emanuel F. Alsina, Michelle Girvan +2
Crowds can often make better decisions than individuals or small groups of experts by leveraging their ability to aggregate diverse information. Question answering sites, such as S…
Competing opinions and stubbornness: connecting models to data
Keith A. Burghardt, William Rand, Michelle Girvan
We introduce a general contagion-like model for competing opinions that includes dynamic resistance to alternative opinions. We show that this model can describe candidate vote dis…
Understanding the Predictive Power of Computational Mechanics and Echo State Networks in Social Media
David Darmon, Jared Sylvester, Michelle Girvan +1
There is a large amount of interest in understanding users of social media in order to predict their behavior in this space. Despite this interest, user predictability in social me…