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Introduction to NodeXL
Wasim Ahmed (wahmed1@Sheffield.ac.uk)
(Twitter: @was3210)
An Introduction to Tools for Social Media Research
11th October 2016, London.
11/10/2016 © The University of Sheffield
2
About me
• PhD student in the Health Informatics Research
Group, Information School, University of
Sheffield.
• Research Associate (Social Media Specialist),
Management School, University of Sheffield.
• Visibrain Blog Partner, Connected Action
Partner, Echosec Advisor, SMRF Member, and
NSMNSS member.
11/10/2016 © The University of Sheffield
3
PhD Background
• PhD project examines infectious disease
outbreaks on Twitter (Swine Flu and Ebola).
• PhD contains a chapter on tools, methods and
software of capturing and analysing Twitter data.
• Regular contributor to the LSE Impact blog on
social media
11/10/2016 © The University of Sheffield
4
• Network Overview, Discovery, and Exploration
for Excel (NodeXL) is a graph visualization tool.
• Allows the extraction of data from a number of
popular social media platforms including
Twitter, YouTube, and Facebook.
• Instagram capabilities in beta.
NodeXL
11/10/2016 © The University of Sheffield
5
• Once data is captured NodeXL can process data
to extract graph metrics
• Also enables the visualization of the extracted
graphs based on a number of graph layout
algorithms
• Intended for users with little or no programming
experience to perform Social Network Analysis
NodeXL
11/10/2016 © The University of Sheffield
6
• Social Network Analysis (SNA) is “the process of
investigating social structures through the use of
network and graph theories” (Otte, Evelien, Rousseau,
and Ronald, 2002)
• Key terminology:
• Node = ‘actor’ on which relationships act
• Edge = relationship which connects nodes
Social Network Analysis
11/10/2016 © The University of Sheffield
7
Social Network Analysis
Early social network diagram of relationships among workers in a factory. The diagram illustrates the positions different
workers occupy within the workgroup. Originally published in Roethlisberger, F., and Dickson, W. (1939). Management
and the worker. Cambridge, UK: Cambridge University Press.
11/10/2016 © The University of Sheffield
8
Examples of Networks
• The World Wide Web is a big network where
pages are nodes and links are edges
• The Internet is a network where nodes are
computers and edges are physical connections
between devices
11/10/2016 © The University of Sheffield
9
Examples of Networks
Network of connections between devices within the Internet. Courtesy of Steve
Jurvetson. Used under a Creative Commons license.
11/10/2016 © The University of Sheffield
10
Network diagram of the #NSMNSS network community
The tweets in the network were tweeted over the 75-day, 18-hour, 10-minute period from Friday, 01 July 2016 at 00:52
UTC to Wednesday, 14 September 2016 at 19:02 UTC.
11/10/2016 © The University of Sheffield
11
11/10/2016 © The University of Sheffield
12
NodeXL Ribbon in Excel
11/10/2016 © The University of Sheffield
13
Import drop down
11/10/2016 © The University of Sheffield
14
NodeXL Graph Gallery
• It is possible to upload network visualizations as
well as workbooks and GraphML files to the
NodeXL graph gallery
• The NodeXL graph gallery contains a number
existing events, topics, and communities which
have already been visualized
11/10/2016 © The University of Sheffield
15
NodeXL Graph Gallery
11/10/2016 © The University of Sheffield
16
Import settings
• The NodeXL workbook used to create a graph is
often linked to at the bottom of the page.
• It can be downloaded and opened in order to
create a similar looking graph.
• Graphs can be further customized e.g., adding
or removing group labels.
11/10/2016 © The University of Sheffield
17
NodeXL Graph Gallery
11/10/2016 © The University of Sheffield
18
6 types of network structures
11/10/2016 © The University of Sheffield
19
6 types of network structures
11/10/2016 © The University of Sheffield
20
#WorldMentalHealthDay
11/10/2016 © The University of Sheffield
21
• Most frequently shared URLs, Domains,
Hashtags, Words, Word Pairs, Replied-To,
Mentioned Users, and most frequent tweeters
• Produces metrics overall and by group of users
(users are grouped by tweet content)
• By looking at different metrics associated with
different groups (G1, G2, G3 etc) you can see
the different topics that users may be talking
about
Produces a number of metrics
11/10/2016 © The University of Sheffield
22
Produces a number of metrics
11/10/2016 © The University of Sheffield
23
Produces a number of metrics
11/10/2016 © The University of Sheffield
24
Produces a number of metrics
11/10/2016 © The University of Sheffield
25
11/10/2016 © The University of Sheffield
26
Ethics
• In an academic context uploading to the graph
gallery may not be permitted as participants are
personally identifiable
• It is possible to use NodeXL to create offline
graphs and to report aggregately
11/10/2016 © The University of Sheffield
27
Questions?
To
Discover
And
Understand.

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An Introduction to NodeXL

  • 1. Introduction to NodeXL Wasim Ahmed (wahmed1@Sheffield.ac.uk) (Twitter: @was3210) An Introduction to Tools for Social Media Research 11th October 2016, London.
  • 2. 11/10/2016 © The University of Sheffield 2 About me • PhD student in the Health Informatics Research Group, Information School, University of Sheffield. • Research Associate (Social Media Specialist), Management School, University of Sheffield. • Visibrain Blog Partner, Connected Action Partner, Echosec Advisor, SMRF Member, and NSMNSS member.
  • 3. 11/10/2016 © The University of Sheffield 3 PhD Background • PhD project examines infectious disease outbreaks on Twitter (Swine Flu and Ebola). • PhD contains a chapter on tools, methods and software of capturing and analysing Twitter data. • Regular contributor to the LSE Impact blog on social media
  • 4. 11/10/2016 © The University of Sheffield 4 • Network Overview, Discovery, and Exploration for Excel (NodeXL) is a graph visualization tool. • Allows the extraction of data from a number of popular social media platforms including Twitter, YouTube, and Facebook. • Instagram capabilities in beta. NodeXL
  • 5. 11/10/2016 © The University of Sheffield 5 • Once data is captured NodeXL can process data to extract graph metrics • Also enables the visualization of the extracted graphs based on a number of graph layout algorithms • Intended for users with little or no programming experience to perform Social Network Analysis NodeXL
  • 6. 11/10/2016 © The University of Sheffield 6 • Social Network Analysis (SNA) is “the process of investigating social structures through the use of network and graph theories” (Otte, Evelien, Rousseau, and Ronald, 2002) • Key terminology: • Node = ‘actor’ on which relationships act • Edge = relationship which connects nodes Social Network Analysis
  • 7. 11/10/2016 © The University of Sheffield 7 Social Network Analysis Early social network diagram of relationships among workers in a factory. The diagram illustrates the positions different workers occupy within the workgroup. Originally published in Roethlisberger, F., and Dickson, W. (1939). Management and the worker. Cambridge, UK: Cambridge University Press.
  • 8. 11/10/2016 © The University of Sheffield 8 Examples of Networks • The World Wide Web is a big network where pages are nodes and links are edges • The Internet is a network where nodes are computers and edges are physical connections between devices
  • 9. 11/10/2016 © The University of Sheffield 9 Examples of Networks Network of connections between devices within the Internet. Courtesy of Steve Jurvetson. Used under a Creative Commons license.
  • 10. 11/10/2016 © The University of Sheffield 10 Network diagram of the #NSMNSS network community The tweets in the network were tweeted over the 75-day, 18-hour, 10-minute period from Friday, 01 July 2016 at 00:52 UTC to Wednesday, 14 September 2016 at 19:02 UTC.
  • 11. 11/10/2016 © The University of Sheffield 11
  • 12. 11/10/2016 © The University of Sheffield 12 NodeXL Ribbon in Excel
  • 13. 11/10/2016 © The University of Sheffield 13 Import drop down
  • 14. 11/10/2016 © The University of Sheffield 14 NodeXL Graph Gallery • It is possible to upload network visualizations as well as workbooks and GraphML files to the NodeXL graph gallery • The NodeXL graph gallery contains a number existing events, topics, and communities which have already been visualized
  • 15. 11/10/2016 © The University of Sheffield 15 NodeXL Graph Gallery
  • 16. 11/10/2016 © The University of Sheffield 16 Import settings • The NodeXL workbook used to create a graph is often linked to at the bottom of the page. • It can be downloaded and opened in order to create a similar looking graph. • Graphs can be further customized e.g., adding or removing group labels.
  • 17. 11/10/2016 © The University of Sheffield 17 NodeXL Graph Gallery
  • 18. 11/10/2016 © The University of Sheffield 18 6 types of network structures
  • 19. 11/10/2016 © The University of Sheffield 19 6 types of network structures
  • 20. 11/10/2016 © The University of Sheffield 20 #WorldMentalHealthDay
  • 21. 11/10/2016 © The University of Sheffield 21 • Most frequently shared URLs, Domains, Hashtags, Words, Word Pairs, Replied-To, Mentioned Users, and most frequent tweeters • Produces metrics overall and by group of users (users are grouped by tweet content) • By looking at different metrics associated with different groups (G1, G2, G3 etc) you can see the different topics that users may be talking about Produces a number of metrics
  • 22. 11/10/2016 © The University of Sheffield 22 Produces a number of metrics
  • 23. 11/10/2016 © The University of Sheffield 23 Produces a number of metrics
  • 24. 11/10/2016 © The University of Sheffield 24 Produces a number of metrics
  • 25. 11/10/2016 © The University of Sheffield 25
  • 26. 11/10/2016 © The University of Sheffield 26 Ethics • In an academic context uploading to the graph gallery may not be permitted as participants are personally identifiable • It is possible to use NodeXL to create offline graphs and to report aggregately
  • 27. 11/10/2016 © The University of Sheffield 27 Questions?