activity
20122018
most citedOn the limiting behavior of parameter-dependent network centrality measures

121 citations · 203 across the 6 of their papers we have counts for

collaborators

9 papers

cs.SI2018

Flow-Based Local Graph Clustering with Better Seed Set Inclusion

Nate Veldt, Christine Klymko, David Gleich

Flow-based methods for local graph clustering have received significant recent attention for their theoretical cut improvement and runtime guarantees. In this work we present two i…

cs.SI2017

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,…

cs.SI2016★ 2 cited

Detecting highly cyclic structure with complex eigenpairs

Christine Klymko, Geoffrey Sanders

Many large, real-world complex networks have rich community structure that a network scientist seeks to understand. These communities may overlap or have intricate internal structu…

cs.SI2016

Local rewiring algorithms to increase clustering and grow a small world

Jeff Alstott, Christine Klymko, Pamela B. Pyzza +1

Many real-world networks have high clustering among vertices: vertices that share neighbors are often also directly connected to each other. A network's clustering can be a useful…

cs.SI2014★ 50 cited

Using Triangles to Improve Community Detection in Directed Networks

Christine Klymko, David Gleich, Tamara G. Kolda

In a graph, a community may be loosely defined as a group of nodes that are more closely connected to one another than to the rest of the graph. While there are a variety of metric…

math.NA2013★ 121 cited

On the limiting behavior of parameter-dependent network centrality measures

Michele Benzi, Christine Klymko

We consider a broad class of walk-based, parameterized node centrality measures for network analysis. These measures are expressed in terms of functions of the adjacency matrix and…

quant-ph2013★ 27 cited

An Integrated Programming and Development Environment for Adiabatic Quantum Optimization

Travis S. Humble, Alex J. McCaskey, Ryan S. Bennink +5

Adiabatic quantum computing is a promising route to the computational power afforded by quantum information processing. The recent availability of adiabatic hardware has raised cha…

cs.SI2013

Total communicability as a centrality measure

Michele Benzi, Christine Klymko

We examine a node centrality measure based on the notion of total communicability, defined in terms of the row sums of the exponential of the adjacency matrix of the network. We ar…

quant-ph2012★ 3 cited

Adiabatic Quantum Programming: Minor Embedding With Hard Faults

Christine Klymko, Blair D. Sullivan, Travis S. Humble

Adiabatic quantum programming defines the time-dependent mapping of a quantum algorithm into an underlying hardware or logical fabric. An essential step is embedding problem-specif…