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Flickr. Slow Social Network Intelligence Systems. Share your photos. Watch the world. Yahoo service Upload pictures/albums Make friends and share images Edit pictures Over 4 billion photos. Photo sharing. Choose who can comment on your photos Add notes to your photos - PowerPoint PPT PresentationTRANSCRIPT
FlickrSlow Social Network Intelligence Systems
Share your photos.Watch the world. Yahoo service Upload pictures/albums Make friends and share images Edit pictures Over 4 billion photos
Photo sharing Choose who can comment on your
photos Add notes to your photos Favorite yours and others photos Tag people in your photos Categorize your photos
Friending Search people by name or email Import contacts from Yahoo! Mail,
Gmail, or Hotmail Invite friends by email Categorize friends as “family” or
“friend” Share photos with non-users through a
“Guest Pass”
Uber Social Connect your Flickr account to:
Facebook Twitter Blogging tools Yahoo! Updates
Add Flickr “Badge” to your website Embed a slideshow on your website
Upload anywhere Upload from:
Browser Desktop App Mobile Device Third Party Apps
Photo Grouping Add location/tags Geotag vacation photos Add to previous collections or create
new ones Public collections like NASA Goddard
Space Flight Center, White House photostream, Library of Congress, Smithsonian, US National Archives
Beginning of Social Network
Enumeration Rapid growth Countless users in the beginning (Early
Adopters) Low network connectedness New members join more quickly than
friendships can be established
Propagation Period of ongoing growth in which both
membership and linkage increases Early adopters form links between
themselves and other users Users share multitudes of photos
Adaptation New users start out as power users Settle into their user class
Singletons Middle region Giant component
Stay at this level for the rest of their membership
Elimination Singletons contribute little to the social
network Their photos are only viewed by them Lack of contribution or all out abandonment
of the social network Can be considered to no longer be a part of
the social network Giant component and Middle region become
the driving force of the social network
Concentration Views, comments, faves, tags Top contributors Members of the Giant component Showcase the best the social network
has to offer All the photos that users decide to share
with the world
Petri Net
Everyday Use of Established Social Network
Enumeration Users have established profiles and set
of friendships Prepare photos for addition to social
network Create photo albums to store their
newly uploaded photos Possibly geotagged and/or commented
Propagation Sharing of photos/albums to friends in
network Makes links between users and friends
stronger May make albums public and share with
entire network Adds content to network
Adaptation Change in users and photos transparency Public vs. Private Making photos public adds more value to
the network as a whole Making photos private (only visible by
friends) limits the exposure along the network
Personal preference
Elimination Photos that are not viewed or shared Have no bearing on the network itself Contribute very little to the overall
user’s experience These photos will be lost among the
more popular albums
Concentration Similar to previous model concentration Focus is more on photos and network
content Network becomes concentrated on
popular photos/albums Popularity determined by
comments/faves/views
Petri Net
References Social Network Analysis: An Approach and
Technique for the Study of Information Exchange, Caroline Haythornthwaite
Structure and Evolution of Online Social Networks, Ravi Kumar, Jasmine Novak, Andrew Tomkins
Beyond Friendship Graphs: A Study of User Interactions in Flickr, Masoud Valafar, Reza Rejaie, Walter Willinger
Typical Examples of Slow Intelligence Systems, Yingze Wang