The Masters Series: Network Analytics

/The Masters Series: Network Analytics

september, 2018

thu06sep9:00 am5:00 pmThe Masters Series: Network Analytics9:00 am - 5:00 pm Science Gallery, Trinity College Dublin, Pearse Street, Dublin 2

Event Details

Delivered by: Dr. Derek Greene.

Duration: 1 day

Cost: €399.  A discounted rate is available for early-bird bookings.  Please contact us to obtain the voucher code.


Network analysis is not a new topic, but the digitisation of so many daily business, organisational, and personal activities as well as the migration of so much communication to online platforms makes analysis of data networks more important now than ever before. Insights about fraudsters, customers, influencers, products and competitors that cannot be uncovered using other analysis techniques can be illuminated through network analysis. Through real world examples, discussions, and live code demonstrations this one-day workshop designed for analytics professionals introduces the most important network analysis techniques that can be used in data analytics applications.

At Course Completion

This workshop has been designed to equip delegates with the most important network analysis techniques, and an understanding of how they should be applied to build real-world-relevant solutions. After completing the workshop delegates will be able to:

  • Frame a wide range of problems as network analysis problems and solve them using appropriate techniques
  • Understand the structure and characteristics of networks
  • Perform basic network analysis using measures of degree, density, centrality, etc.
  • Visualise networks using appropriate tools and techniques
  • Perform anomaly detection to identify unusual patterns in networks
  • Apply community finding to discover group structures in networks
  • Perform classification tasks on networks using appropriate node featurisation.


To attend this course delegates should be familiar with fundamental concepts in data manipulation, descriptive statistics, and machine learning. Specifically, delegates should be comfortable building and evaluating classification models. The live code demonstrations during the workshop will use the Python programming language and relevant Python packages (e.g. pandas, scikit-learn, and networkx). While familiarity with these is not required it would be useful. A list of specific functionality with which delegates should be familiar, and suggested online revision materials, will be circulated to delegates before the workshop.


  • Framing problems as network analysis problems
  • Creating and storing network data
  • Characterising networks using measures of degree, density, centrality, etc.
  • Demonstration: Characterising networks
  • Network analysis techniques for anomaly detection
  • Demonstration: Anomaly detection
  • Finding community structure in networks
  • Demonstration: Anomaly detection
  • Using network analysis to generate features for other machine learning tasks
  • Building motif-based features
  • Demonstration: Classifying network nodes


(Thursday) 9:00 am - 5:00 pm


Science Gallery

Trinity College Dublin, Pearse Street, Dublin 2

Event Organised by

The Analytics