COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years.
Its economic, social and health impact continues to grow and is likely to end up as one of the …

The abundance of interconnected data has fueled the design and implementation of graph
generators reproducing real-world linking properties or gauging the effectiveness of graph …

NAMD is a parallel molecular dynamics code designed for high‐performance simulation of
large biomolecular systems. NAMD scales to hundreds of processors on high‐end parallel …

Networks allow us to describe a wide range of interaction phenomena that occur in complex
systems arising in such diverse fields of knowledge as neuroscience, engineering, ecology …

This research measures the epidemiological and economic impact of COVID-19 spread in
the US under different mitigation scenarios, comprising of non-pharmaceutical interventions …

Computational epidemiology Page 1 88 CommuniCations of thE aCm | july 2013 | vol. 56 | no.
7 review articles an epidemic is said to arise in a community or region when cases of an illness …

We study allocation of COVID-19 vaccines to individuals based on the structural properties
of their underlying social contact network. Even optimistic estimates suggest that most …

In networks on chip (NoC) very low cost and high performance switches are of critical
importance. For a regular two-dimensional NoC, we propose a very simple, memoryless …

Massive networks arising in numerous application areas poses significant challenges for
network analysts as these networks grow to billions of nodes and are prohibitively large to fit …

We use an individual based model and national level epidemic simulations to estimate the
medical costs of kee** the US economy open during COVID-19 pandemic under different …