Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Structure and evolution of online social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis of topological characteristics of huge online social networking services
Proceedings of the 16th international conference on World Wide Web
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Unveiling facebook: a measurement study of social network based applications
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Emotional experience on facebook site
CHI '09 Extended Abstracts on Human Factors in Computing Systems
What happens when facebook is gone?
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
How much do you tell?: information disclosure behaviour indifferent types of online communities
Proceedings of the fourth international conference on Communities and technologies
Analyzing patterns of user content generation in online social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Persona: an online social network with user-defined privacy
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Recommender Service for Social Network based Applications
Proceedings of the 11th International Conference on Electronic Commerce
Characterizing User Groups in Online Social Networks
EUNICE '09 Proceedings of the 15th Open European Summer School and IFIP TC6.6 Workshop on The Internet of the Future
Understanding online social network usage from a network perspective
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Characterizing user behavior in online social networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Network level footprints of facebook applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Dramaturgical capitalization of positive emotions: the answer for Facebook success?
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
Improving social game engagement on facebook through enhanced socio-contextual information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Walking in facebook: a case study of unbiased sampling of OSNs
INFOCOM'10 Proceedings of the 29th conference on Information communications
SocialVPN: Enabling wide-area collaboration with integrated social and overlay networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Profile popularity in a business-oriented online social network
Proceedings of the 3rd Workshop on Social Network Systems
FaceTrust: assessing the credibility of online personas via social networks
HotSec'09 Proceedings of the 4th USENIX conference on Hot topics in security
Diffusion dynamics of games on online social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
Characterization of user networks in Facebook
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Measuring user behavior in online social networks
IEEE Network: The Magazine of Global Internetworking
Crawling Facebook for social network analysis purposes
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Temporal sensitivity for location disclosure through mobile photo-sharing
Proceedings of the 1st international workshop on Mobile location-based service
Social networks as a platform for distributed dictionary attack
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
Comparative traffic analysis study of popular applications
EUNICE'11 Proceedings of the 17th international conference on Energy-aware communications
A case study of the effects of moderator posts within a facebook brand page
SocInfo'11 Proceedings of the Third international conference on Social informatics
Which type of overlay network performs better for multimedia distribution and information sharing?
Proceedings of the 15th Communications and Networking Simulation Symposium
Navigation characteristics of online social networks and search engines users
Proceedings of the 2012 ACM workshop on Workshop on online social networks
Beyond friendship: modeling user activity graphs on social network-based gifting applications
Proceedings of the 2012 ACM conference on Internet measurement conference
Inside dropbox: understanding personal cloud storage services
Proceedings of the 2012 ACM conference on Internet measurement conference
Recommending social network applications via social filtering mechanisms
Information Sciences: an International Journal
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Facebook is one of the most popular Internet sites today. A key feature that arguably contributed to Facebook's unprecedented success is its application platform, which enables the development of third-party social-networking applications. Understanding how these applications are installed and used is important for the function and utility of web-based online social networks, e.g. to better engineer them and/or to design advertising campaigns. In this paper, we characterize the popularity and user reach of Facebook applications. We analyze application usage data gathered over a period of six months from Facebook and Adonomics - a Facebook analytics service. We also crawl publicly accessible Facebook user profiles and obtain per-user application installation statistics, for approximately 300K users and 13.6K applications. Our findings include that (i) the popularity of Facebook applications has a highly skewed distribution; (ii) although the total number of application installations increases with time, the average user activity decreases; and (iii) users with more applications installed are more likely to install new applications.