• Publications
  • Influence
Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks
TLDR
We extract social networks of active users on Digg and Twitter, and track how interest in news stories spreads among them. Expand
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Using a model of social dynamics to predict popularity of news
TLDR
We show that stochastic models of user behavior on social media sites allows predicting popularity based on early user reactions to new content. Expand
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MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
TLDR
We propose a new model, MixHop, that can learn these relationships, including difference operators, by repeatedly mixing feature representations of neighbors at various distances. Expand
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Mathematical Model of Foraging in a Group of Robots: Effect of Interference
TLDR
We present a mathematical model of foraging in a homogeneous multi-robot system, with the goal of understanding quantitatively the effects of interference. Expand
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Analysis of Dynamic Task Allocation in Multi-Robot Systems
TLDR
Dynamic task allocation is a class of task allocation in which the assignment of robots to sub-tasks is a dynamic process and may need to be continuously adjusted. Expand
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Social Browsing on Flickr
TLDR
We show that social browsing through the contacts' photo streams is one of the primary methods by which users find new images on Flickr. Expand
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The DARPA Twitter Bot Challenge
TLDR
We need to identify and eliminate "influence bots" - realistic, automated identities that illicitly shape discussions on social media - before they get too influential. Expand
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Electric Elves: Applying Agent Technology to Support Human Organizations
TLDR
The operation of a human organization requires dozens of everyday tasks to ensure coherence in organizational activities. Expand
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Wrapper Maintenance: A Machine Learning Approach
TLDR
We present an efficient algorithm that learns structural information about data from positive examples alone. Expand
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Automatic Data Extraction from Lists and Tables in Web Sources
TLDR
We describe a technique for extracting data from lists and tables and grouping it by rows and columns by exploiting the regularities both in the format of the pages and the data contained in them. Expand
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