142 citations · 458 across the 31 of their papers we have counts for
6 papers · 1 filter
Network Sampling: From Static to Streaming Graphs
Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella
Network sampling is integral to the analysis of social, information, and biological networks. Since many real-world networks are massive in size, continuously evolving, and/or dist…
Space-Efficient Sampling from Social Activity Streams
Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella
In order to efficiently study the characteristics of network domains and support development of network systems (e.g. algorithms, protocols that operate on networks), it is often n…
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks
Ryan Rossi, Brian Gallagher, Jennifer Neville +1
The majority of real-world networks are dynamic and extremely large (e.g., Internet Traffic, Twitter, Facebook, ...). To understand the structural behavior of nodes in these large…
Transforming Graph Representations for Statistical Relational Learning
Ryan A. Rossi, Luke K. McDowell, David W. Aha +1
Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and…
Role-Dynamics: Fast Mining of Large Dynamic Networks
Ryan Rossi, Brian Gallagher, Jennifer Neville +1
To understand the structural dynamics of a large-scale social, biological or technological network, it may be useful to discover behavioral roles representing the main connectivity…
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…