Friday, September 27
Data Hands-On: Social Network Analysis NodeXL-Class 1
Data Data Hands-On
Friday, September 27
10:45 am - 12:00 pm
Room 2.105, HafenCity Universit├Ąt (HCU)

Limited Seating

30 of 30 seats filled

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  • Harald Meier (Speaker) Geographer, Social Media Research Foundation


Session 1: Introduction to Social Network Analysis with NodeXL Pro

Social network analysis (SNA) is a powerful research method from the social sciences with many practical applications for journalists, especially when applied to social media data and complex collections of relationships.

This session will provide hands-on training with the SNA tool NodeXL Pro which is a plug-in for Microsoft Office Excel on Windows. No prior knowledge of social network analysis or Excel is required.

Learn how to conduct a social network analysis on any network dataset. Learn to import network data from a variety of sources, cluster the data into sub-communities, detect influencers, generate a content and sentiment analysis, along with a time series analysis and network visualization. For example, here is a sample NodeXL network report of the Twitter hashtag #ddj:  https:/

Note: 20 laptops with installed software and user licenses will be available in this session. If you choose to bring your own laptop, please send an email to, and you will receive a NodeXL Pro trial user license along with installation instructions (Requirements: Windows OS, Microsoft Office Excel).

Important Advisory: Hands-on classes are limited to 30 seats. Please sign up only if you are serious about taking the class. Signing up does not ensure you will get in. The first 20 attendees will get in and be able to use the conference laptops, which are PCs pre-loaded with software and data. The next 10 attendees will need their own laptops and software noted in the course description. If you see online that a class already has 30 sign-ups do not hesitate to still sign up, as seats often open up. We will try to repeat popular classes later in the conference. Thanks for your understanding.

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