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PythonGraph AnalysisNetworkX

Organizational Network Analysis

Graph-based analysis of organizational networks to surface influence, collaboration and communication patterns.

Problem

Leaders often lack visibility into how information and collaboration actually flow across a company, beyond the formal org chart.

Solution

Graph analysis (NetworkX) over communication/collaboration data to surface influence hubs, silos and cross-team bridges invisible in a traditional org chart.

Overview

An org chart shows who reports to whom — it says nothing about who actually talks to whom, where information bottlenecks form, or which teams are quietly isolated.

How it works

Using NetworkX, communication/collaboration data is modeled as a graph, and standard network-analysis metrics (degree centrality, betweenness, community detection) surface the informal structure hiding underneath the formal one: influence hubs, cross-team bridges, and clusters that rarely interact with the rest of the organization.

Result

A visual, data-backed answer to a question leadership usually has to guess at — where does information actually flow, and where does it get stuck?

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