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Big social network analysis by Jari Jussila

Updated: Nov 21, 2022

Date: 14th November 2022 (On Campus).

21st November 2022 (Online).

Venue: IDEAS Lab, Tollbugata 17

Time: 1200 to 1530

Duration: 8 hours

Video Recording: Day 1

Download the Material:

About the Presenter: Jari Jussila, B.Eng., M.Sc., D.Sc. is Principal Research Scientist & Director of HAMK Design Factory at Häme University of Applied Sciences. He completed his doctoral thesis on social media use in B2B companies’ innovation. His research is focused on data analytics, big social data analytics, design thinking.

About the Workshop/Course:

An expanding amount of social media content is generated every day, yet organisations are facing increasing difficulties in both collecting and analysing the content related to their operations. Social network analysis is one established method of Big Social Data Analytics that can deal with this challenge.

The 8-hour big social network analysis workshop will cover both collecting and analysing Twitter data. First, basics of network analysis and network metrics are introduced. Then Twitter data is collected from Twitter API using PythonAnywhere for running Python code in the cloud. Finally, social network analysis and visualization of the data is conducted with Gephi to extract meaningful insights. The aim of the workshop is to give a practical introduction to social network analysis for research purposes.

The workshop is aimed at anyone interested at collecting and analysing social media data.

What you will learn

Participants will gain a basic understanding of social network analysis and network metrics.

Participants learn to access and collect Twitter data with API’s, scrapers, hydrators and third-party tools.

Participants will be able to execute and modify Python code on the cloud.

Participants learn to visualize and layout social networks using network metrics with Gephi.

Participants will have an increased understanding what the ‘bigness’ means from data and analysis perspective.

What is offered

In addition to the 8 hour training, we offer the following:

A community of students and staff interested in data analytics.


Yes, the participants need to bring a laptop with Gephi installed.

In case of questions please contact us at



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