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1Copyright © 2011, Elsevier Inc. All rights Reserved
Chapter 13
Flickr
Linking People, Photos, and Tags
Analyzing Social Media Networks with NodeXL
Insights from a Connected World
2
Eduarda Mendes Rodrigues is an Assistant Professor of Informatics Engineering
at the University of Porto, Portugal. Her research interests lie in the broad areas
of data mining and web information retrieval. In particular, her current research
is focused on the interplay between social sciences and web technologies, aiming
to develop effective data mining techniques for characterizing user behavior in
online communities and improving information retrieval in social media. She
holds a Ph.D. in Electronic & Electrical Engineering from University College
London, UK.
As Principal Researcher at Microsoft Research Cambridge (MSRC), Natasa Milic-
Frayling is setting research directions for Integrated Systems group
(http://research.microsoft.com/is), a cross-disciplinary team focused on design,
prototyping and evaluation of information and communication systems and
services. She also serves as Director of Research Partnership with industry
(http://research.microsoft.com/rpp), the MSRC programme that facilitates
collaboration between MS Research and industry leading partners and
clients. Natasa is actively involved with a wider industry and academic community,
promoting research and innovation through public speaking and research
engagements.
3Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.1
Chapter13
Flickr enables web users to search and browse through public
collections of billions of digital photos (www.flickr.com/explore).
4Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.2
Chapter13
The Flickr Explore page includes search over geo-tagged images and a
tag cloud for browsing photos based on their tags (www.flickr.com/explore).
5Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.3
Chapter13
Flickr members search
6Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.4
Chapter13
The Flickr photostream shows photos that the user has recently posted.
On the right are sets of photos, sorted by recency.
7Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.5
Chapter13
Top figure shows multiple sets of photos in Flickr. The middle figure shows
individual images in the “2007 MSR Latin American Faculty Summit” set.
The bottom image illustrates collections containing several sets.
8Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.6
Chapter13
Flickr image containing seven tags and an extensive description. Nine
people liked the photo and called it “Favorite.” The image was included in
one gallery and received one comment.
9Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.7
Chapter13
The user’s Flickr profile page shows the number of contacts (146) and
group memberships (6).
10Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.8
Chapter13
Networks arising from users’ participation and content contributions on
Flickr. (a) Adding contacts. (b) Authoring and tagging photos. (c) Adding
comments to photos. (d) Joining a group.
11Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.9
Chapter13
Tagged photo of the Hotel Bellagio fountains in Las Vegas.
12Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.10
Chapter13
NodeXL Data Import menu.
13Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.11
Chapter13
NodeXL Import from the Flickr Related Tags Network window. Get all tags
related with the “barcelona” tag, downloading a sample Flickr picture for each
tag.
14Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.12
Chapter13
NodeXL Import from the Flickr Related Tags Network window. Get all tags
related with the “barcelona” tag, downloading a sample Flickr picture for each
tag.
15Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.13
Chapter13
NodeXL Import from Flickr User’s Network window. Get all the contacts of the
user “marc_smith,” along with information about each user and the respective
profile photo.
16Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.14
Chapter13
Raw data in the NodeXL Edges worksheet after importing both user networks
(contacts and comments). The Relationship column indicates the type of
relationship between each pair of users.
17Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.15
Chapter13
NodeXL Prepare Data and Graph Type drop-down menus.
18Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.16
Chapter13
Raw NodeXL visualization of the Flickr related tags network for the
“vegas” tag, which is shown selected selected in the center of the
graph.
19Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.17
Chapter13
Filtered NodeXL Flickr tag cloud network. Shows edges with weight
> 1 and vertices with degree < 45. Vertex size is proportional to
degree and color is proportional to betweenness centrality (min:
gray; max: orange).
20Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.18
Chapter13
Filtered NodeXL Flickr tag photo network. Shows edges with the
weight 1 and vertices with the degree 45. Vertex size is
proportional to degree and color is proportional to betweenness
centrality (min: gray; max: orange).
21Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE MAP
Chapter13
22Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.19
Chapter13
Raw NodeXL visualization of the Flickr-related tags network for the
“mouse” tag.
23Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.20
Chapter13
NodeXL cluster visualization showing three Flickr tag clusters, each
representing a different context for “mouse.”
24Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.21
Chapter13
NodeXL display of isolated clusters for three different contexts for
the “mouse” tag in Flickr: mouse animal, computer mouse, and the
Mickey Mouse Disney character.
25Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.22
Chapter13
Raw NodeXL visualization of the Flickr user’s comments
network for “Marc_Smith.”
26Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.23
Chapter13
NodeXL Autofill Columns settings for (a) filtered comments network
and (b) comments scatter graph.
27Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.24
Chapter13
NodeXL network of Flickr users who comment on Marc_Smith’s
photos (network depth 1.5; edge weight >= 4).
28Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.25
Chapter13
NodeXL scatter graph of total Flickr comments to self (X axis)
versus other users (Y axis), in a log-log scale. Vertex size is
mapped to the total number of photos in the user’s Flickr
photostream, and color is mapped to the total number of comments
posted by the user.
29Copyright © 2011, Elsevier Inc. All rights Reserved
FIGURE 13.26
Chapter13
Three examples of self-comments where the user adds context to
the photo (top), responds to other users comments (middle), and
thanks other users (bottom).

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Analyzing social media networks with NodeXL - Chapter-13 Images

  • 1. 1Copyright © 2011, Elsevier Inc. All rights Reserved Chapter 13 Flickr Linking People, Photos, and Tags Analyzing Social Media Networks with NodeXL Insights from a Connected World
  • 2. 2 Eduarda Mendes Rodrigues is an Assistant Professor of Informatics Engineering at the University of Porto, Portugal. Her research interests lie in the broad areas of data mining and web information retrieval. In particular, her current research is focused on the interplay between social sciences and web technologies, aiming to develop effective data mining techniques for characterizing user behavior in online communities and improving information retrieval in social media. She holds a Ph.D. in Electronic & Electrical Engineering from University College London, UK. As Principal Researcher at Microsoft Research Cambridge (MSRC), Natasa Milic- Frayling is setting research directions for Integrated Systems group (http://research.microsoft.com/is), a cross-disciplinary team focused on design, prototyping and evaluation of information and communication systems and services. She also serves as Director of Research Partnership with industry (http://research.microsoft.com/rpp), the MSRC programme that facilitates collaboration between MS Research and industry leading partners and clients. Natasa is actively involved with a wider industry and academic community, promoting research and innovation through public speaking and research engagements.
  • 3. 3Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.1 Chapter13 Flickr enables web users to search and browse through public collections of billions of digital photos (www.flickr.com/explore).
  • 4. 4Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.2 Chapter13 The Flickr Explore page includes search over geo-tagged images and a tag cloud for browsing photos based on their tags (www.flickr.com/explore).
  • 5. 5Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.3 Chapter13 Flickr members search
  • 6. 6Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.4 Chapter13 The Flickr photostream shows photos that the user has recently posted. On the right are sets of photos, sorted by recency.
  • 7. 7Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.5 Chapter13 Top figure shows multiple sets of photos in Flickr. The middle figure shows individual images in the “2007 MSR Latin American Faculty Summit” set. The bottom image illustrates collections containing several sets.
  • 8. 8Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.6 Chapter13 Flickr image containing seven tags and an extensive description. Nine people liked the photo and called it “Favorite.” The image was included in one gallery and received one comment.
  • 9. 9Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.7 Chapter13 The user’s Flickr profile page shows the number of contacts (146) and group memberships (6).
  • 10. 10Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.8 Chapter13 Networks arising from users’ participation and content contributions on Flickr. (a) Adding contacts. (b) Authoring and tagging photos. (c) Adding comments to photos. (d) Joining a group.
  • 11. 11Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.9 Chapter13 Tagged photo of the Hotel Bellagio fountains in Las Vegas.
  • 12. 12Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.10 Chapter13 NodeXL Data Import menu.
  • 13. 13Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.11 Chapter13 NodeXL Import from the Flickr Related Tags Network window. Get all tags related with the “barcelona” tag, downloading a sample Flickr picture for each tag.
  • 14. 14Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.12 Chapter13 NodeXL Import from the Flickr Related Tags Network window. Get all tags related with the “barcelona” tag, downloading a sample Flickr picture for each tag.
  • 15. 15Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.13 Chapter13 NodeXL Import from Flickr User’s Network window. Get all the contacts of the user “marc_smith,” along with information about each user and the respective profile photo.
  • 16. 16Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.14 Chapter13 Raw data in the NodeXL Edges worksheet after importing both user networks (contacts and comments). The Relationship column indicates the type of relationship between each pair of users.
  • 17. 17Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.15 Chapter13 NodeXL Prepare Data and Graph Type drop-down menus.
  • 18. 18Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.16 Chapter13 Raw NodeXL visualization of the Flickr related tags network for the “vegas” tag, which is shown selected selected in the center of the graph.
  • 19. 19Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.17 Chapter13 Filtered NodeXL Flickr tag cloud network. Shows edges with weight > 1 and vertices with degree < 45. Vertex size is proportional to degree and color is proportional to betweenness centrality (min: gray; max: orange).
  • 20. 20Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.18 Chapter13 Filtered NodeXL Flickr tag photo network. Shows edges with the weight 1 and vertices with the degree 45. Vertex size is proportional to degree and color is proportional to betweenness centrality (min: gray; max: orange).
  • 21. 21Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE MAP Chapter13
  • 22. 22Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.19 Chapter13 Raw NodeXL visualization of the Flickr-related tags network for the “mouse” tag.
  • 23. 23Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.20 Chapter13 NodeXL cluster visualization showing three Flickr tag clusters, each representing a different context for “mouse.”
  • 24. 24Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.21 Chapter13 NodeXL display of isolated clusters for three different contexts for the “mouse” tag in Flickr: mouse animal, computer mouse, and the Mickey Mouse Disney character.
  • 25. 25Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.22 Chapter13 Raw NodeXL visualization of the Flickr user’s comments network for “Marc_Smith.”
  • 26. 26Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.23 Chapter13 NodeXL Autofill Columns settings for (a) filtered comments network and (b) comments scatter graph.
  • 27. 27Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.24 Chapter13 NodeXL network of Flickr users who comment on Marc_Smith’s photos (network depth 1.5; edge weight >= 4).
  • 28. 28Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.25 Chapter13 NodeXL scatter graph of total Flickr comments to self (X axis) versus other users (Y axis), in a log-log scale. Vertex size is mapped to the total number of photos in the user’s Flickr photostream, and color is mapped to the total number of comments posted by the user.
  • 29. 29Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 13.26 Chapter13 Three examples of self-comments where the user adds context to the photo (top), responds to other users comments (middle), and thanks other users (bottom).