A network can be described as a set of nodes that can be connected to other nodes via links. This approach, in particular, would consider networks related to human-built infrastructure systems or natural systems. For example, the nodes can be rail stations, airports, and seaports in transportation networks; or routers/servers in an Internet network. The links can be the train tracks, flight connections, and sea routes in transportation networks, which are quantified by traffic and/or volume; the volume of biomass flowing from one species to another in ecological networks; web traffic in Internet networks. In networks where volume data are not available, the links can be binary – meaning one either exists (link=1) or it does not (link=0), for any given pair of nodes. Network science methods are used to analyze the properties of the connectivity of the network as a whole.
Technology Overview
The software system intakes node and link data and their attributes and translates them into a network data object, which is stored on the server in a database. The software can take in multiple such objects and interconnect them in select cases. The user interacts with this network via a front-end (often but not necessarily geospatial) interface. Depending on the exact use case, the user can specify parameters (such as resilience budget in dollars), upload data to augment or even override the default network data stored in the database (such as the estimated cost to repair any facility in the system), and export data from the analysis.
- It utilizes raw data in conjunction with user-provided inputs and data to yield actionable metrics for generating restoration strategies and for making complex systems more resilient 
- Can quantify the total system’s ability to function on a relative (0 to 1) scale
- This quantitative and intuitive framework and the accompanying SCF (State of Critical Functionality) metric can be generalized across many natural and human-built systems
- Can analyze a system of multiple connected facilities holistically
- The system will be adaptive, letting the user input selected data and select options to augment the software as well as customize the output and visualizations of final results
- The software system can be deployed and used potentially in real-time
- Airports
- Used as a tool for businesses in scenario‑based "what‑if" modeling and planning under natural and man‑made threats
- As a research software tool for the academic community
- License
- Partnering
- Research collaboration
Patent Information:
For Information, Contact:
Mark Saulich
Associate Director of Commercialization
Northeastern University
Auroop Ganguly
Devashish Kumar
Evan Kodra
Udit Bhatia