804 citations · 5.1k across the 113 of their papers we have counts for
8 papers · 1 filter
Computational Social Scientist Beware: Simpson's Paradox in Behavioral Data
Kristina Lerman
Observational data about human behavior is often heterogeneous, i.e., generated by subgroups within the population under study that vary in size and behavior. Heterogeneity predisp…
Bounded Rationality in Scholarly Knowledge Discovery
Kristina Lerman, Nathan Hodas, Hao Wu
In an information-rich world, people's time and attention must be divided among rapidly changing information sources and the diverse tasks demanded of them. How people decide which…
Network Vector: Distributed Representations of Networks with Global Context
Hao Wu, Kristina Lerman
We propose a neural embedding algorithm called Network Vector, which learns distributed representations of nodes and the entire networks simultaneously. By embedding networks in a…
Graph Filters and the Z-Laplacian
Xiaoran Yan, Brian M. Sadler, Robert J. Drost +2
In network science, the interplay between dynamical processes and the underlying topologies of complex systems has led to a diverse family of models with different interpretations.…
Dynamics of Content Quality in Collaborative Knowledge Production
Emilio Ferrara, Nazanin Alipourfard, Keith Burghardt +2
We explore the dynamics of user performance in collaborative knowledge production by studying the quality of answers to questions posted on Stack Exchange. We propose four indicato…
Will Break for Productivity: Generalized Symptoms of Cognitive Depletion
Lyndsey Franklin, Kristina Lerman, Nathan Hodas
In this work, we address the symptoms of cognitive depletion as they relate to generalized knowledge workers. We unify previous findings within a single analytical model of cogniti…