It is funny, when we think about networks, we think about groups, communities, systems, and other complex collections of interacting entities. Yet, the most popular social network metrics are “individual centralities”! Who is the most connected? Who is the best connected? Who is the hub? Who is the influencer? Who spans the most structural holes […]
Initially Dave and I each wrote a post around what see as important to discuss in the upcoming Exploratory. Part of what we are doing here is sense-making and now I am going to make sense of what David wrote and start a conversation on those topics. Social and Organizational Network Analysis (SNA/ONA) Reading through […]
In my earlier post I reprised my earlier work on the role of informal networks with a view to updating and extending that today, keeping with the metaphor of mycorrhiza. In the meantime Valdis has made a first post in his work and ideas. The two of us agreed to do this in parallel for […]
Complex human systems, such as organizations, communities or economies, can be modeled as networks. Network nodes can represent system components, while system interactions, such as flows of knowledge, influence, information or relationship, can be represented by symmetric or asymmetric network links. When “networks” are mentioned, many people assume that a network means that everyone is […]
Many years ago now, at the end of the Knowledge Wars in IBM, I ended up (as a part of the peace settlement) working in the Institute for Knowledge Management (IKM). That meant flying to Boston once a month and staying in the Marriott Kendal Square which was just over the road from the MIT […]
The Cynefin Company (formerly known as Cognitive Edge) was founded in 2005 by Dave Snowden. We believe in praxis and focus on building methods, tools and capability that apply the wisdom from Complex Adaptive Systems theory and other scientific disciplines in social systems. We are the world leader in developing management approaches (in society, government and industry) that empower organisations to absorb uncertainty, detect weak signals to enable sense-making in complex systems, act on the rich data, create resilience and, ultimately, thrive in a complex world.
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