activity
20132021
most citedDynamic stochastic blockmodels: Statistical models for time-evolving networks

46 citations · 50 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI20212 cited

Learning User Embeddings from Temporal Social Media Data: A Survey

Fatema Hasan, Kevin S. Xu, James R. Foulds +1

User-generated data on social media contain rich information about who we are, what we like and how we make decisions. In this paper, we survey representative work on learning a co…

cs.SI2019

CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation

Makan Arastuie, Subhadeep Paul, Kevin S. Xu

In many application settings involving networks, such as messages between users of an on-line social network or transactions between traders in financial markets, the observed data…

cs.SI2018

Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks

Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni

On-line social networks (OSNs) often contain many different types of relationships between users. When studying the structure of OSNs such as Facebook, two of the most commonly stu…

cs.SI2018

DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks

Mahmudur Rahman, Tanay Kumar Saha, Mohammad Al Hasan +2

The temporal dynamics of a complex system such as a social network or a communication network can be studied by understanding the patterns of link appearance and disappearance over…

cs.SI2017

Effects of Contact Network Models on Stochastic Epidemic Simulations

Rehan Ahmad, Kevin S. Xu

The importance of modeling the spread of epidemics through a population has led to the development of mathematical models for infectious disease propagation. A number of empirical…

cs.HC20172 cited

Unsupervised Motion Artifact Detection in Wrist-Measured Electrodermal Activity Data

Yuning Zhang, Maysam Haghdan, Kevin S. Xu

One of the main benefits of a wrist-worn computer is its ability to collect a variety of physiological data in a minimally intrusive manner. Among these data, electrodermal activit…