Dmitry Yanter
Collaboration Quantified: Lessons from Open Source Developer Networks
#1about 3 minutes
Understanding the true cost of team collaboration
Collaboration is just one mode of team interaction and its overhead increases non-linearly, which can hurt performance if not managed.
#2about 4 minutes
Modeling the relationship between team size and performance
A quadratic function demonstrates that as a team grows, the increasing number of connections can lead to underperformance if collaboration patterns are not adjusted.
#3about 5 minutes
Differentiating between operational and strategic professional networks
Professional networks are composed of an operational network for daily tasks and a strategic network for long-term goals, with different growth patterns.
#4about 2 minutes
How to visualize collaboration networks using Jira data
By analyzing interactions within Jira issues, you can build a graph that visualizes the collaboration network and identifies critical connection points.
#5about 6 minutes
Identifying the small core network in open source projects
Analysis of large open source projects reveals that a small, highly interconnected core group of contributors is responsible for holding the entire network together.
#6about 2 minutes
Using articulation points to identify single points of failure
Articulation points in a collaboration graph represent individuals whose departure would fragment the network, highlighting key person dependencies and project risks.
#7about 2 minutes
Actionable questions to assess your own collaboration networks
Evaluate the health of your own work relationships by asking key questions about your operational network, strategic connections, and network robustness.
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Scala Engineer - Distributed Ledger Technology
OB Collective
Senior
JSON
DevOps
Docker
Blockchain
Prometheus