facebook social network mapping visualization
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Facebook Social Network Mapping Visualization. By Lourdes Chang. Contents. Introduction Social Networks Facebook background Synthetic Data Application description Demo Related Work Future Work Conclusion. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
Facebook Social Network Mapping Visualization
By Lourdes Chang
Contents Introduction Social Networks Facebook background Synthetic Data Application description Demo Related Work Future Work Conclusion
Introduction
“A good friend is a connection to life - a tie to the past, a road to the future, the key to sanity in a totally insane world” (Lois Wyse)
“Show me your friends and I will show you your future” (John Kuebler)
Social Networks Classmates.com Friendster mySpace LinkedIn Twitter Xanga Facebook Etc.
More than 400 million active users Average user has 130 friends About 70% of Facebook users are
outside of the United States
[1] “Statistics | Facebook”. http://www.facebook.com/press/info.php?statistics, 2010
Facebook Email address Interests Activities Notes Birthday Photos/Videos Education history Relationship status Events/Social gatherings Religion Groups that they belong to Friend list Hometown/Current location Website
Synthetic Data
Database All cities in the United States Longitude and latitude
Geocoder (Google Maps API)
Create test files XML
Synthetic Data
Synthetic Data
Algorithm Base
One person is the host “friend”, has x friends
His friends are known as friend[0], friend[1],….,friend[x] (base string)
Friends of friends Select one friend, has y friends Base string + [.] + [0,1,….,y]
Synthetic Data
Application description Contains
Map with sidebar (Google Maps API) Control buttons Map interactions
Two graphs Pie (Bluff library) Bar (HTML-Graphs)
HyperTree (JavaScript Visualization Toolkit)
Tree interactions
Demo
Related Work
Vizster Friendster
Facebook API Too long Permissions
Future Work
Coupling and decoupling map and HyperTree
Calculate how many people fall under a certain range (radial)
Other information other than location
Conclusion
No real data, no real conclusion
Universal web application XML file
References[1] “Statistics | Facebook”. http://www.facebook.com/press/info.php?statistics,
2010[2] Sweeny, Charles. “List of Cities and Countries”.
http://listofcitiesandcounties.com/, 2010[3] Belmonte, Nicolas Garcia. “JavaScript InfoVis Toolkit - Interactive Data
Visualizations for the Web” http://thejit.org/docs/files/Hypertree-js.html, 2010[4] Mani, Venkat. “Google Map – Facebook Mashup!!!” http://thetechstig.com/?
page_id=35, 2009[5] Williams, Mike. “Google Map API Tutorial” http://econym.org.uk/gmap/, 2010[6] “MarkerClusterer for V3”. http://google-maps-utility-library-
v3.googlecode.com/svn/trunk/markerclusterer/docs/reference.html[7] Veness, Chris. “Calculate distance, bearing and more between
Latitude/Longitude points”. http://www.movable-type.co.uk/scripts/latlong.html[8] Tentler, Gerd. “Gerry’s Script Library”. http://www.gerd-tentler.de/tools/[9] Boyd, Danah. Heer, Jeffrey. “Vizster | Visualizing online social networks”.
http://hci.stanford.edu/jheer/projects/vizster/, 2005[10] Boyd, Danah, Ellison Nicole B. “Social Network Sites: Definition, History, and
Scholarship”. http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html. 2007[11] Facebook. http://www.facebook.com