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Hot today, gone tomorrow: on the migration of MySpace users

Published: 17 August 2009 Publication History

Abstract

While some empirical studies on Online Social Networks (OSNs) have examined the growth of these systems, little is known about the patterns of decline in user population or user activity (in terms of visiting their OSN account) in large OSNs, mainly because capturing the required information is challenging.
In this paper, we examine the evolution of user population and user activity in a popular OSN, namely MySpace. Leveraging more than 360K randomly sampled profiles, we characterize both the pattern of departure and the level of activity among MySpace users. Our main findings can be summarized as follows: (i) A significant fraction of accounts have been deleted and a large fraction of valid accounts have not been visited for more than three months. (ii) One third of public accounts are owned by users who abandon their accounts shortly after creation (i.e., tourists). We leverage this information to estimate the account creation time of other users from their user IDs. (iii) We demonstrate that the growth of allocated user IDs in MySpace was exponential, followed by a sudden and significant slow-down in April 2008 due to an increase in the popularity of Facebook. If such up- and down-turns are symptomatic of OSNs, they raise the obvious question: What are the main forces that enable some systems to compete and strive in the Internet's OSN eco-system, while others decline and ultimately die out?

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  • (2020)Triggers of Social Network CollapseInformation Systems Management10.1080/10580530.2020.173252937:2(170-182)Online publication date: 29-Feb-2020
  • (2020)Putting a Brave Face on it: Social Media Technologies and Disruptive InnovationRe-imagining Technology Enhanced Learning10.1007/978-3-030-55785-0_5(79-99)Online publication date: 10-Nov-2020
  • (2020)Habits and the electronic herd: The psychology behind social media’s successes and failuresConsumer Psychology Review10.1002/arcp.10634:1(83-99)Online publication date: 22-Nov-2020
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Published In

cover image ACM Conferences
WOSN '09: Proceedings of the 2nd ACM workshop on Online social networks
August 2009
74 pages
ISBN:9781605584454
DOI:10.1145/1592665
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

New York, NY, United States

Publication History

Published: 17 August 2009

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Author Tags

  1. OSN eco-system
  2. online social networks
  3. user dynamics and activities

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  • Research-article

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SIGCOMM '09
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SIGCOMM '09: ACM SIGCOMM 2009 Conference
August 17, 2009
Barcelona, Spain

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Overall Acceptance Rate 12 of 36 submissions, 33%

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Cited By

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  • (2020)Triggers of Social Network CollapseInformation Systems Management10.1080/10580530.2020.173252937:2(170-182)Online publication date: 29-Feb-2020
  • (2020)Putting a Brave Face on it: Social Media Technologies and Disruptive InnovationRe-imagining Technology Enhanced Learning10.1007/978-3-030-55785-0_5(79-99)Online publication date: 10-Nov-2020
  • (2020)Habits and the electronic herd: The psychology behind social media’s successes and failuresConsumer Psychology Review10.1002/arcp.10634:1(83-99)Online publication date: 22-Nov-2020
  • (2019)Examining the evolution of the Twitter elite networkSocial Network Analysis and Mining10.1007/s13278-019-0612-810:1Online publication date: 27-Nov-2019
  • (2018)Postmortem Analysis of Decayed Online Social CommunitiesComplexity10.1155/2018/38736012018Online publication date: 1-Jan-2018
  • (2018)A Model of Information Diffusion in Interconnected Online Social NetworksACM Transactions on the Web10.1145/316000012:2(1-21)Online publication date: 1-Jun-2018
  • (2018)Keep the conversations goingInformation Systems Frontiers10.1007/s10796-016-9719-x20:2(239-257)Online publication date: 1-Apr-2018
  • (2017)The mechanism of collapse of the Friendster network: What can we learn from the core structure of Friendster?Social Network Analysis and Mining10.1007/s13278-017-0429-27:1Online publication date: 7-Apr-2017
  • (2017)How exposure to different opinions impacts the life cycle of social mediaAnnals of Operations Research10.1007/s10479-017-2554-8268:1-2(63-91)Online publication date: 23-Jun-2017
  • (2017)Stochastic Modeling of the Decay Dynamics of Online Social NetworksComplex Networks VIII10.1007/978-3-319-54241-6_10(119-131)Online publication date: 23-Feb-2017
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