804 citations · 5.1k across the 113 of their papers we have counts for
9 papers · 1 filter
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media
Jeon-Hyung Kang, Kristina Lerman
Probabilistic models can learn users' preferences from the history of their item adoptions on a social media site, and in turn, recommend new items to users based on learned prefer…
The Simple Rules of Social Contagion
Nathan O. Hodas, Kristina Lerman
It is commonly believed that information spreads between individuals like a pathogen, with each exposure by an informed friend potentially resulting in a naive individual becoming…
Stochastic Models Predict User Behavior in Social Media
Tad Hogg, Kristina Lerman, Laura M. Smith
User response to contributed content in online social media depends on many factors. These include how the site lays out new content, how frequently the user visits the site, how m…
Attention and Visibility in an Information Rich World
Nathan O. Hodas, Kristina Lerman
As the rate of content production grows, we must make a staggering number of daily decisions about what information is worth acting on. For any flourishing online social media syst…
Friendship Paradox Redux: Your Friends Are More Interesting Than You
Nathan O. Hodas, Farshad Kooti, Kristina Lerman
Feld's friendship paradox states that "your friends have more friends than you, on average." This paradox arises because extremely popular people, despite being rare, are overrepre…
Limited Attention and Centrality in Social Networks
Kristina Lerman, Prachi Jain, Rumi Ghosh +2
How does one find important or influential people in an online social network? Researchers have proposed a variety of centrality measures to identify individuals that are, for exam…
Structural and Cognitive Bottlenecks to Information Access in Social Networks
Jeon-Hyung Kang, Kristina Lerman
Information in networks is non-uniformly distributed, enabling individuals in certain network positions to get preferential access to information. Social scientists have developed…
Spectral Clustering with Epidemic Diffusion
Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona +2
Spectral clustering is widely used to partition graphs into distinct modules or communities. Existing methods for spectral clustering use the eigenvalues and eigenvectors of the gr…
LA-LDA: A Limited Attention Topic Model for Social Recommendation
Jeon-Hyung Kang, Kristina Lerman, Lise Getoor
Social media users have finite attention which limits the number of incoming messages from friends they can process. Moreover, they pay more attention to opinions and recommendatio…