This event will use NodeXL Pro and cloud-based team working for the development of an academic research output. Learn by doing.

About this Event

*This event is capped with only a limited amount of discounted academic and student tickets...act to secure your ticket*

NodeXL provides easy access to social media network data streams, advanced network metrics, text and sentiment analysis, and powerful report generation with just a few clicks.

This session will be led by Dr. Marc Smith from the Social Media Research Foundation with guest speakers who will demonstrate network methods for research insights.

The event will be delivered online via Zoom. You will receive a meeting link 7-days before the workshop.

Organized by the Social Media Research Foundation.

* Prerequisite: We strongly recommend attending our Intro to NodeXL Event and/or our Summer or Winter School before attending this event*

By attending, you'll gain a digital certificate and a 1 month trial access to NodeXL.

Contact:[email protected]

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The need to gain insights into social media has grown in importance with the increasing popularity of social networking websites in particular (e.g. Twitter, YouTube, Facebook, LinkedIn, and Instagram etc.) and social computing in general. As people increasingly participate in online communities for social, commercial, and civic interaction, new methods are needed to study these phenomena.

The event will focus on providing an overview of NodeXL and Social Network Analysis and will guide delegates on all the steps required to be able to use the tool to download and analyze social media data.

On completion, delegates will be emailed a certificate of attendance (PDF) and the skills that have been gained.

Learning Outcomes:

•Learn the required theories and concepts of writing a paper using NodeXL

•Learn how to prepare your research idea for publication

•Learn the basics of using NodeXL Pro for academic research

•Learn how to do automated analysis in NodeXL Pro for research

•Learn to identify key people and groups on social networks for academic research

•Learn how to run content analysis to create a vector of words, hashtags and URLs for each users, group, and population for academic research

•To know the best practices on customizing network analysis to adapt to different data sources for different publication outputs

Who will benefit from this course?

This event will benefit a wide range of people including, but not limited to:

*Academics/ Researchers

*Masters and PhD students

*Research Support Staff and Managers

*Library and Information Professional

COURSE OUTLINE

This event will be structured as an collaborative participate event that may involve:

*Brainstorming 'hot' research topics

*Collecting data in real-time

* Using cloud-based technologies such as Google Docs to develop literature reviews

* To discuss best practices for research paper writing

*To practice legal and ethical ways to harvest data for academic research.

Organized by the Social Media Research Foundation.

Contact: [email protected]