774 citations · 1.2k across the 41 of their papers we have counts for
4 papers · 1 filter
Choosing to Grow a Graph: Modeling Network Formation as Discrete Choice
Jan Overgoor, Austin R. Benson, Johan Ugander
We provide a framework for modeling social network formation through conditional multinomial logit models from discrete choice and random utility theory, in which each new edge is…
Evaluating stochastic seeding strategies in networks
Alex Chin, Dean Eckles, Johan Ugander
When trying to maximize the adoption of a behavior in a population connected by a social network, it is common to strategize about where in the network to seed the behavior, often…
Choosing to Rank
Stephen Ragain, Johan Ugander
Ranking data arises in a wide variety of application areas but remains difficult to model, learn from, and predict. Datasets often exhibit multimodality, intransitivity, or incompl…
Improving pairwise comparison models using Empirical Bayes shrinkage
Stephen Ragain, Alexander Peysakhovich, Johan Ugander
Comparison data arises in many important contexts, e.g. shopping, web clicks, or sports competitions. Typically we are given a dataset of comparisons and wish to train a model to m…