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Found 8 papers, 3 papers with code
The diminishing state of shared reality on US television news
With regard to consumption, we find more mixed evidence: while broadcast news has indeed declined in popularity, it remains the dominant source of news for roughly 50\% more Americans than does cable; moreover, its decline, while somewhat attributable to cable, appears driven more by a shift away from news consumption altogether than a growth in cable consumption.
Examining the consumption of radical content on YouTube
Although it is under-studied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world.
Learning Behavioral Representations from Wearable Sensors
Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors.
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
These results indicate that the state-of-the-art for link prediction comes from combining individual algorithms, which achieves nearly optimal predictions.
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization
In recent years, the rapid growth in technology has increased the opportunity for longitudinal human behavioral studies.
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
Today's densely instrumented world offers tremendous opportunities for continuous acquisition and analysis of multimodal sensor data providing temporal characterization of an individual's behaviors.
Capturing Edge Attributes via Network Embedding
Here we propose a novel embedding method that uses both network structure and edge attributes to learn better network representations.
Social and Information Networks
Evaluating Overfit and Underfit in Models of Network Community Structure
These results introduce both a theoretically principled approach to evaluate over and underfitting in models of network community structure and a realistic benchmark by which new methods may be evaluated and compared.
