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A high level overview of the research behind CCTool and its overall architecture is described in:

The participatory modelling method used in producing the input graph to CCTool, and its application in stakeholder workshops to understanding controllability is discussed in the context of the bio-based economy in the Humber region (ERIE) in:

A video describing what we mean by the minimum set of control nodes in a network is here:

An overview of the maths is available on Wikipedia:

The work behind the tool involves a combination of many different strands of research. Firstly the collaborative construction of causal networks or fuzzy cognitive maps (FCMs), which is frequently used in participatory problem solving

For an introduction and instructions on how to build an FCM see:

Our original work in creating a fuzzy cognitive map of the Humber bio-based economy is described in the paper available here:

We combined FCM techniques with methods from graph theory. In particular, we have used ideas on structural control of networks which were first developed by Lin in 1973. Abstract available here:

In our tool we use a development of a method described by Liu, Slotine and Barabasi in the journal Nature. An overview of their project is given here:

http://barabasilab.neu.edu/projects/controllability/

The results of our first workshop combining FCM and network controllability are published in:

This book chapter describes in detail the method used in producing the input graph to CCTool, its development and application in stakeholder workshops to understanding controllability of the bio-based economy in the Humber region and discusses the challenges to be addressed when using the tool.

For more tools and ideas on steering complex systems developed during the ERIE project take a look at our free online toolkit The ERIE SteerPlex: