Originally posted 17-Oct-24
Valdis Krebs is a management consultant and Founder and Chief Scientist at Orgnet LLC. He is the developer of InFlow, a software-based, organization network analysis methodology that maps and measures knowledge exchange, information flow, communities of practice, networks of alliances, and other networks within and between organizations. Through graphics and revealing measures, this technique allows managers to see what was once invisible.
As a data scientist, Valdis specializes in social, relational, and multimodal data analysis and visualization. As a network scientist, he applies artificial intelligence and social algorithms, data mining, organizational network analysis, and cluster analysis to business, community, and organizational projects. As a social scientist, he has over 20 years of organizational consulting and coaching experience, specializing in maps and metrics that reveal how an organization really works.
After living in Cleveland for many years, Valdis recently moved to Riga, Latvia. He intended to retire there, but his clients continue to keep him engaged.
For more about Valdis, see Profiles in Knowledge. You can also read the summary I wrote of his presentation at the 9th Midwest KM Symposium.
Valdis created the following content which I have curated to represent his contributions to the field.
Book
Valdis designed the network maps in Anda Rozukalne’s Latvia’s Media Owners.
Social Network Analysis: An Introduction
Social network analysis [SNA] is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships. Management consultants use this methodology with their business clients and call it Organizational Network Analysis [ONA]. ONA allows you to x-ray your organization and reveal the managerial nervous system that connects everything.
To understand networks and their participants, we evaluate the location and grouping of actors in the network. These measures give us insight into the various roles and groupings in a network — who are the connectors, mavens, leaders, bridges, isolates, where are the clusters and who is in them, who is in the core of the network, and who is on the periphery?
This network effectively shows the distinction between the three most popular individual centrality measures: Degree Centrality, Betweenness Centrality, and Closeness Centrality.
Employee Networks Reveal How Things Get Done in your Organization
The organizational map above shows the email flows amongst a large project team in a Fortune 100 company. It is an x-ray of how the project actually works! Each person on the team is represented by a node. Each node is colored according to the person’s department — red, blue, or green. Yellow nodes are consultants, contractors, and other external specialists hired to work on this project. Grey nodes are not formal team members but are external experts consulted during the project.
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The above diagram shows the project network soon after the missed deadline. Notice the clustering around formal departments — blues interacting with blues, greens interacting with greens. The initial communication in this project was very siloed! Several of the hubs in this network were under-performing and came across as bottlenecks. Project managers saw the need for more direct integration between the departments. One of the solutions was very simple, yet effective — co-location of more project team members — a surprising solution in the age of the Internet! Another solution was minor change in a policy and a business process. These small interventions improved the information flow, and reduced the communication load on the hubs, whose performance improved later in the project.
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Once the regular monitoring of the network began, and the initial changes were made, no further deadlines were missed, and project members expressed how much better things worked after the intervention.
Knowledge and Learning in Organizations
Below is a graphic from Valdis’ 2018 SlideShare presentation on Knowledge and Learning in Organizations.
