activity
20122023
most citedStability of a Giant Connected Component in a Complex Network

68 citations · 184 across the 6 of their papers we have counts for

collaborators

6 papers

nlin.AO2023

Birth-death-suppression Markov process and wildfires

George Hulsey, David L. Alderson, Jean Carlson

Birth and death Markov processes can model stochastic physical systems from percolation to disease spread and, in particular, wildfires. We introduce and analyze a birth-death-supp…

physics.soc-ph2022★ 20 cited

Finding shortest and nearly shortest path nodes in large substantially incomplete networks

Maksim Kitsak, Alexander Ganin, Ahmed Elmokashfi +5

Dynamic processes on networks, be it information transfer in the Internet, contagious spreading in a social network, or neural signaling, take place along shortest or nearly shorte…

physics.soc-ph2017★ 68 cited

Stability of a Giant Connected Component in a Complex Network

Maksim Kitsak, Alexander A. Ganin, Daniel A. Eisenberg +4

We analyze the stability of the network's giant connected component under impact of adverse events, which we model through the link percolation. Specifically, we quantify the exten…

q-bio.QM2014★ 30 cited

Optimal vaccination in a stochastic epidemic model of two non-interacting populations

Edwin C. Yuan, David L. Alderson, Sean Stromberg +1

Developing robust, quantitative methods to optimize resource allocations in response to epidemics has the potential to save lives and minimize health care costs. In this paper, we…

physics.soc-ph2013★ 27 cited

Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation

Jean M. Carlson, David L. Alderson, Sean P. Stromberg +4

Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological sys…

physics.soc-ph2012★ 39 cited

Collective Decision Dynamics in the Presence of External Drivers

Danielle S. Bassett, David L. Alderson, Jean M. Carlson

We develop a sequence of models describing information transmission and decision dynamics for a network of individual agents subject to multiple sources of influence. Our general f…