Using Connection and Influence Mapping to Understand Organizational Risk

Our world is made up of many diverse things that are connected with each other. People are connected to cars. Cars are connected to roads. Roads are connected to signals and signs. Behaviors emerge from the influences and forces that result from this connectivity.

Connection and influence mapping uses models that represent how things are connected in the form of networks. Examples include social networks, transportation infrastructure, organizational structure, supply chains, process flows and project schedules. These models help us understand how networks are structured, how they behave, who the major influencers are, where congestion points are, where likely points of failure are and how flows are distributed in terms of capacity and cost performance.

While graphs represent network structures, graph analytics helps us understand the behavior and performance of the networks. This provides rich information to analysts and decision makers who are seeking how to improve the performance of their organizations and related networks.

This webinar provides a high-level overview of how analyzing these models helps us understand the behavior and performance of the networks and provides us rich information to analysts and decision makers who are seeking how to improve the performance of their organizations.

When: May 6, 2021 at 8pm Eastern time

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