1. ML Lab 2.0
5th Feb 2019
Freiburg
Like never before.
Organizational Network Analysis

2. Enable Employees to be known for their work!
Reduce social hierarchy in organizations!
2
Our Purpose

3. 3
We prototyped two solutions:
1. Improving corporate communication
2. Revealing Talents and Influencers

4. How we did it?
4

5. 1. Improving corporate communication
(network-based)
5

6. 6
1736 1954 1985
Historical Context

7. 7
Enron
Emails
CSV
PST
Reconstruct
Enron
Exchange
Server
Exchange
API
Relational
Database
Graph
Theory
Metrics
(python)
Business
Logic
UI
AWS
Simplified Steps
9 weeks

8. 8
Graph
Theory
Metrics
(python)
Business
Logic
88

9. 9
Graph
Theory
Metrics
(python)
Business
Logic
99
Authorities
Betweenness Centrality (1977)
Communicability
Dispersion (2013)
Louvain Communities (2008)
Edge Betweenness
Eigen Centrality
Transitivity
Flow Betweenness
Hubs
Page Rank
Leadership Score
What-If Employee Analysis
Leadership Peer Communication
Internal Succession Planning
Communication Clusters
Employee Communication Risk
Role-model Score
Communication Crisis
Communication Contributors
Management Score
Go-To Influencers
Organizational Network AnalysisGraph Theory

10. Meet Maria
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• Hard-working
• Competent
• Ambitious
• Punctual
• Reliable
Maria wants to make an impact!

11. To make an impact
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Who should she talk to?
John AnaMarkLaura

12. 121212
Maria Alcaine
PeopleOS

13. 13
ONA Flow
1. Maria is in top 25% in Hubs Algorithm
2. Maria is not in top 25% in Eigen Centrality
3. Maria has Edge Betweenness with up to three of
top 25% of Eigen Centrality (Influencers)
4. Maria’s Communication Cluster contains
Influencers at middle or bottom of her list.
5. Identify 2 colleagues from Influencers’ joint
communication cluster
6. Suggest Mark and John
Laura
Influencer
Influencer
Maria
John
Mark

14. 2. Revealing Talents and Influencers
(content-based)
14