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World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Your organization as a Graph

Dunya Kirkali

What happens when you map your company's communication and code commits as a graph? You uncover the hidden collaboration networks and silent bottlenecks that truly run your organization.

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#1 about 3 min

Viewing organizations as complex relational data graphs

How representing teams as relational graphs clarifies collaboration impacts during reorganizations and technology shifts.

#2 about 2 min

Mapping traditional reporting structures and standard hierarchies

Establishing a baseline structural model using standard reporting lines for a fictional company.

#3 about 4 min

Enhancing organizational models with cross-functional communication data

Enhancing hierarchy models with chat and email data to reveal true cross-functional collaboration and bottlenecks.

#4 about 4 min

Visualizing service ownership and cross-team system dependencies

Mapping service ownership to identify tight coupling, unbalanced workloads, and architectural boundaries.

#5 about 3 min

Tracking code review interactions to uncover technical silos

Tracking code review interactions to uncover technical silos, domain experts, and true ownership behaviors.

#6 about 2 min

Incorporating trust surveys and work item interactions

Utilizing trust surveys and work tracking items to identify natural leadership and hidden communication channels.

#7 about 3 min

Detecting hidden collaborative clusters with the Leiden algorithm

Applying community detection algorithms to simplify monolithic structures into tightly connected functional teams.

#8 about 2 min

Identifying organizational bottlenecks using betweenness centrality calculations

Using shortest-path algorithms to spot critical communication connectors and single points of failure.

#9 about 3 min

Evaluating system influence using the PageRank algorithm

Highlighting heavily dependent software services and influential personnel that require strategic structural support.

#10 about 3 min

Simulating organizational changes via large language models

Querying graph databases through AI agents to test staffing scenarios and predict project resource needs.

#11 about 5 min

Constructing an iterative organizational data ingestion pipeline

Constructing a continuous data pipeline to transform organizational hypotheses into iterative graph database queries.

#12 about 5 min

Managing ethical concerns and analytical expectation boundaries

Handling employee interaction data responsibly while framing analytical insights as tools rather than absolute performance metrics.

Matching moments

4:20 min

Leveraging connected teamwork graphs to generate massive AI returns

Avani Prabhakar Avani Prabhakar · World Congress 2026 Europe

2:44 min

Utilizing graph analytics and Neo4j for structural dependencies

Markus Harrer Markus Harrer · World Congress 2021

1:15 min

Building contextual layers with an organizational teamwork graph

Taroon Mandhana Taroon Mandhana +1 · World Congress 2026 Europe

2:04 min

Improving data governance and auditability with graphs

Stephen Chin Stephen Chin · World Congress 2024

1:58 min

Uncovering team dynamics through version control data analysis

Adam Tornhill · Coffee With Developers

1:27 min

Modeling connected data using graph structures

Jennifer Reif · LIVE

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