253 citations · 721 across the 25 of their papers we have counts for
15 papers · 1 filter
Temporal Motif Participation Profiles for Analyzing Node Similarity in Temporal Networks
Maxwell C. Lee, Kevin S. Xu
Temporal networks consisting of timestamped interactions between a set of nodes provide a useful representation for analyzing complex networked systems that evolve over time. Beyon…
A Hybrid Adjacency and Time-Based Data Structure for Analysis of Temporal Networks
Tanner Hilsabeck, Makan Arastuie, Kevin S. Xu
Dynamic or temporal networks enable representation of time-varying edges between nodes. Conventional adjacency-based data structures used for storing networks such as adjacency lis…
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…
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…
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…
Personalized Degrees: Effects on Link Formation in Dynamic Networks from an Egocentric Perspective
Makan Arastuie, Kevin S. Xu
Understanding mechanisms driving link formation in dynamic social networks is a long-standing problem that has implications to understanding social structure as well as link predic…
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu +1
We consider the problem of analyzing timestamped relational events between a set of entities, such as messages between users of an on-line social network. Such data are often analy…
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…
Evaluating Link Prediction Accuracy on Dynamic Networks with Added and Removed Edges
Ruthwik R. Junuthula, Kevin S. Xu, Vijay K. Devabhaktuni
The task of predicting future relationships in a social network, known as link prediction, has been studied extensively in the literature. Many link prediction methods have been pr…
Stochastic Block Transition Models for Dynamic Networks
Kevin S. Xu
There has been great interest in recent years on statistical models for dynamic networks. In this paper, I propose a stochastic block transition model (SBTM) for dynamic networks t…
Dynamic stochastic blockmodels for time-evolving social networks
Kevin S. Xu, Alfred O. Hero
Significant efforts have gone into the development of statistical models for analyzing data in the form of networks, such as social networks. Most existing work has focused on mode…
Predictability of social interactions
Kevin S. Xu
The ability to predict social interactions between people has profound applications including targeted marketing and prediction of information diffusion and disease propagation. Pr…
Revealing social networks of spammers through spectral clustering
Kevin S. Xu, Mark Kliger, Yilun Chen +2
To date, most studies on spam have focused only on the spamming phase of the spam cycle and have ignored the harvesting phase, which consists of the mass acquisition of email addre…
Dynamic stochastic blockmodels: Statistical models for time-evolving networks
Kevin S. Xu, Alfred O. Hero
Significant efforts have gone into the development of statistical models for analyzing data in the form of networks, such as social networks. Most existing work has focused on mode…
A Regularized Graph Layout Framework for Dynamic Network Visualization
Kevin S. Xu, Mark Kliger, Alfred O. Hero
Many real-world networks, including social and information networks, are dynamic structures that evolve over time. Such dynamic networks are typically visualized using a sequence o…