7 citations · 7 across the 3 of their papers we have counts for
3 papers
An Ensemble Framework for Detecting Community Changes in Dynamic Networks
Timothy La Fond, Geoffrey Sanders, Christine Klymko +1
Dynamic networks, especially those representing social networks, undergo constant evolution of their community structure over time. Nodes can migrate between different communities,…
Size-Consistent Statistics for Anomaly Detection in Dynamic Networks
Timothy La Fond, Jennifer Neville, Brian Gallagher
An important task in network analysis is the detection of anomalous events in a network time series. These events could merely be times of interest in the network timeline or they…
Anomaly Detection in Dynamic Networks of Varying Size
Timothy La Fond, Jennifer Neville, Brian Gallagher
Dynamic networks, also called network streams, are an important data representation that applies to many real-world domains. Many sets of network data such as e-mail networks, soci…