In today’s digital age, social media and networks
have become a prominent area of research due to their pervasive influence.
To further explore this area, an international workshop titled “Social
Network & NodeXL Pro: A Few Clicks to Insights” was held on 7 August 2024
via Zoom which saw about 50 participants. The workshop aimed to introduce
the importance of social media research and provide an overview of NodeXL
Pro for analysing social media data. The workshop also allowed participants
to learn tips and tricks to collect, analyse, visualise, report and present
insights into social media networks.
Dr Marc A. Smith introducing the
NodeXL Pro
The international workshop was a collaborative effort
between the Centre for Learning and Teaching (CLT), UTAR and the Social Media Research (SMR) Foundation. The guest
speakers were Dr Marc A. Smith, a sociologist and director at the SMR
Foundation in Silicon Valley, California, and Dr Mohd Ali Samsudin, an
associate professor from Universiti Sains Malaysia (USM), with
Faculty of Arts and Social Science (FAS) academics Mr Tiew Chia Chun
and Puan Ayu Rita binti Mohamad serving as the moderator and the emcee
respectively.
Following the welcome remarks from CLT Chairperson, Dr Wei Chooi Yi and a speech by
Organising Chairperson, Mr Tiew Chia Chun, Dr Smith began his presentation. He
emphasised the importance of developing tools for scholars to collect,
analyse, and summarise data from various social media platforms,
highlighting NodeXL Pro as a key resource for this purpose.
Dr Smith (second from top left)
explaining how users are connected
Dr Smith explained that social media networks are
composed of connections between users, forming clusters where central users
are influential. He stated, “In network theory, we are interested in
identifying who occupies which position in the graph. Networks consist of
clusters rather than being singular entities. The people at the centre of
these clusters hold influence, making it easier to determine who plays a
significant role in discussions. Social media becomes truly social when
people interact within these networks. Viewing social media in this way aids
our research.”
Following that, Dr Smith demonstrated NodeXL Pro’s
key features, such as data importation from social media platforms, network
and content analysis, and visualisation. He demonstrated by extracting a
sample of information and importing it into NodeXL Pro, which then automated
the information and visualised it as a network.
A demonstration of how NodeXL Pro
visualises sample data
Dr Ali during the workshop
Dr Ali followed with a discussion on incorporating
network analysis using NodeXL Pro into university courses, sharing his
experience with an elective course for Master of Business Administration at
USM’s Graduate School of Business. Dr Ali stated, “Social media analysis is
still quite new in Malaysia. But I believe it can be very beneficial as it
can help us understand how people behave and what desires people have. With
NodeXL Pro, a wider data can be collected from all around the world, unlike
traditional questionnaires.”
Dr Ali introducing a course that
incorporates NodeXL Pro
Dr Smith continued by showcasing the advanced
features of NodeXL Pro, including a dashboard for data overviews, and tools
for creating pie and bar charts and making comparisons with ease.
Advanced features of NodeXL Pro
The workshop was highly informative, providing
valuable insights into social network concepts and teaching participants how
to prepare data for network analysis, generate reports, and present findings
using NodeXL Pro. Additionally, participants were offered a 30-day free user
license for NodeXL Pro, sponsored by the SMR Foundation.
The event concluded with a Q&A session, during which Dr Smith left participants with a significant takeaway, saying, “To understand human interactions, we must study where people are. By doing more research about social networks, we can understand each other and the latest trends in the market or politics to further improve our society.”
Group photography session
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