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Unveiling facebook: a measurement study of social network based applications

Published: 20 October 2008 Publication History

Abstract

Online social networking sites such as Facebook and MySpace have become increasingly popular, with close to 500 million users as of August 2008. The introduction of the Facebook Developer Platform and OpenSocial allows third-party developers to launch their own applications for the existing massive user base. The viral growth of these social applications can potentially influence how content is produced and consumed in the future Internet.
To gain a better understanding, we conducted a large-scale measurement study of the usage characteristics of online social network based applications. In particular, we developed and launched three Facebook applications, which have achieved a combined subscription base of over 8 million users. Using the rich dataset gathered through these applications, we analyze the aggregate workload characteristics (including temporal and geographical distributions) as well as the structure of user interactions. We explore the existence of 'communities', with high degree of interaction within a community and limited interaction outside the community. We find that a small fraction of users account for the majority of activity within the context of our Facebook applications and a small number of applications account for the majority of users on Facebook. Furthermore, user response times for Facebook applications are independent of source/destination user locality. We also investigate distinguishing characteristics of social gaming applications. To the best of our knowledge, this is the first study analyzing user activities on online social applications.

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cover image ACM Conferences
IMC '08: Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
October 2008
352 pages
ISBN:9781605583341
DOI:10.1145/1452520
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 20 October 2008

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Author Tags

  1. applications
  2. characterization
  3. facebook
  4. online social networks
  5. social games

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IMC08: Internet Measurement Conference
October 20 - 22, 2008
Vouliagmeni, Greece

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Overall Acceptance Rate 277 of 1,083 submissions, 26%

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  • (2023)Executing Microservice Applications on Serverless, CorrectlyProceedings of the ACM on Programming Languages10.1145/35712067:POPL(367-395)Online publication date: 11-Jan-2023
  • (2023)Attention-Aware Resource Allocation and QoE Analysis for Metaverse xURLLC ServicesIEEE Journal on Selected Areas in Communications10.1109/JSAC.2023.328097841:7(2158-2175)Online publication date: Jul-2023
  • (2023)Künstliche Intelligenz in der Hochschulbildung. Bildungssoziologische Perspektiven und HerausforderungenKünstliche Intelligenz in der Bildung10.1007/978-3-658-40079-8_11(219-239)Online publication date: 2-Nov-2023
  • (2022)Cloud-Based E-Learning Platform using Django2022 3rd International Conference on Intelligent Engineering and Management (ICIEM)10.1109/ICIEM54221.2022.9853046(809-814)Online publication date: 27-Apr-2022
  • (2022)Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networksJournal of Computational Social Science10.1007/s42001-022-00161-z5:2(1159-1205)Online publication date: 26-Apr-2022
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  • (2020)Analysis and Design of Activity Degree Monitoring AlgorithmInternational Journal of Mathematical Models and Methods in Applied Sciences10.46300/9101.2020.14.2214(126-131)Online publication date: 29-Dec-2020
  • (2020)Applications in Security and Evasions in Machine Learning: A SurveyElectronics10.3390/electronics90100979:1(97)Online publication date: 3-Jan-2020
  • (2020)Others' Images: Online Social Media, Architectural Improvisations, and Spatial Marginalization in BangladeshProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376572(1-14)Online publication date: 21-Apr-2020
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