29 citations · 44 across the 5 of their papers we have counts for
5 papers
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno, Timothy La Fond, Jennifer Neville
Motifs, which have been established as building blocks for network structure, move beyond pair-wise connections to capture longer-range correlations in connections and activity. In…
Dynamic Vertex Replacement Grammars
Daniel Gonzalez Cedre, Justus Isaiah Hibshman, Timothy La Fond +2
Context-free graph grammars have shown a remarkable ability to model structures in real-world relational data. However, graph grammars lack the ability to capture time-changing phe…
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…
Fast Generation of Large Scale Social Networks with Clustering
Joseph J. Pfeiffer, Timothy La Fond, Sebastian Moreno +1
A key challenge within the social network literature is the problem of network generation - that is, how can we create synthetic networks that match characteristics traditionally f…