Analyzing social media networks with NodeXL - Chapter-13 Images

1Copyright © 2011, Elsevier Inc. All rights Reserved

Chapter 13

FlickrLinking People, Photos, and Tags

Analyzing Social Media Networks with NodeXLInsights 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.


FIGURE 13.1C

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Flickr enables web users to search and browse through public

collections of billions of digital photos (www.flickr.com/explore).


FIGURE 13.2C

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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).


FIGURE 13.3C

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Flickr members search


FIGURE 13.4C

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The Flickr photostream shows photos that the user has recently posted. On the right are sets of photos, sorted by recency.


FIGURE 13.5C

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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.


FIGURE 13.6C

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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.


FIGURE 13.7C

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The user’s Flickr profile page shows the number of contacts (146) and group memberships (6).


FIGURE 13.8C

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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.


FIGURE 13.9C

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Tagged photo of the Hotel Bellagio fountains in Las Vegas.


FIGURE 13.10C

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NodeXL Data Import menu.


FIGURE 13.11C

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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.


FIGURE 13.12C

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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.


FIGURE 13.13C

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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.


FIGURE 13.14C

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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.


FIGURE 13.15C

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NodeXL Prepare Data and Graph Type drop-down menus.


FIGURE 13.16C

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Raw NodeXL visualization of the Flickr related tags network for the “vegas” tag, which is shown selected selected in the center of the graph.


FIGURE 13.17C

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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).


FIGURE 13.18C

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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).


FIGURE MAPC

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FIGURE 13.19C

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Raw NodeXL visualization of the Flickr-related tags network for the “mouse” tag.


FIGURE 13.20C

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NodeXL cluster visualization showing three Flickr tag clusters, each representing a different context for “mouse.”


FIGURE 13.21C

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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.


FIGURE 13.22C

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Raw NodeXL visualization of the Flickr user’s comments

network for “Marc_Smith.”


FIGURE 13.23C

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NodeXL Autofill Columns settings for (a) filtered comments network and (b) comments scatter graph.


FIGURE 13.24C

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NodeXL network of Flickr users who comment on Marc_Smith’s photos (network depth 1.5; edge weight >= 4).


FIGURE 13.25C

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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.


FIGURE 13.26C

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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