activity
20142020
most citedEstimating Cascading Failure Risk with Random Chemistry

87 citations · 104 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DM2020

Group Testing for Efficiently Sampling Hypergraphs When Tests Have Variable Costs

Laurence A. Clarfeld, Margaret J. Eppstein

In the group-testing literature, efficient algorithms have been developed to minimize the number of tests required to identify all minimal "defective" sub-groups embedded within a…

cs.CL2020★ 11 cited

A General Model of Conversational Dynamics and an Example Application in Serious Illness Communication

Laurence A. Clarfeld, Robert Gramling, Donna M. Rizzo +1

Conversation has been a primary means for the exchange of information since ancient times. Understanding patterns of information flow in conversations is a critical step in assessi…

physics.soc-ph2019

Group-Testing on Hypergraphs with Variable-Cost Tests: A Power Systems Case Study

Laurence A. Clarfeld, Margaret J. Eppstein

Assessing risk of cascading failure in an electrical grid requires identifying many small "defective" subsets of the N elements in a power system, such that the simultaneous failur…

cs.CE2019

Risk of Cascading Blackouts Given Correlated Component Outages

Laurence A. Clarfeld, Paul D. H. Hines, Eric M. Hernandez +1

Cascading blackouts typically occur when nearly simultaneous outages occur in k out of N components in a power system, triggering subsequent failures that propagate through the net…

cs.NE2014★ 2 cited

Tunably Rugged Landscapes with Known Maximum and Minimum

Narine Manukyan, Margaret J. Eppstein, Jeffrey S. Buzas

We propose NM landscapes as a new class of tunably rugged benchmark problems. NM landscapes are well-defined on alphabets of any arity, including both discrete and real-valued alph…

cs.CE2014★ 4 cited

Evolving Modular Genetic Regulatory Networks with a Recursive, Top-Down Approach

Javier Garcia-Bernardo, Margaret J. Eppstein

Being able to design genetic regulatory networks (GRNs) to achieve a desired cellular function is one of the main goals of synthetic biology. However, determining minimal GRNs that…