The Lifecycles of Apps in a Social Ecosystem
Isabel M. Kloumann,Lada A. Adamic,Jon Kleinberg,Shaomei Wu +3 more
- 18 May 2015
- pp 581-591
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TL;DR: In this paper, the authors analyzed a collection of apps on Facebook Login and developed a novel framework for analyzing both temporal and social properties to predict long-term engagement and adoption of apps.
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Abstract: Apps are emerging as an important form of on-line content, and they combine aspects of Web usage in interesting ways --- they exhibit a rich temporal structure of user adoption and long-term engagement, and they exist in a broader social ecosystem that helps drive these patterns of adoption and engagement. It has been difficult, however, to study apps in their natural setting since this requires a simultaneous analysis of a large set of popular apps and the underlying social network they inhabit. In this work we address this challenge through an analysis of the collection of apps on Facebook Login, developing a novel framework for analyzing both temporal and social properties. At the temporal level, we develop a retention model that represents a user's tendency to return to an app using a very small parameter set. At the social level, we organize the space of apps along two fundamental axes --- popularity and sociality --- and we show how a user's probability of adopting an app depends both on properties of the local network structure and on the match between the user's attributes, his or her friends' attributes, and the dominant attributes within the app's user population. We also devolop models that show the importance of different feature sets with strong performance in predicting app success.
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The role of geography in the complex diffusion of innovations.
Balázs Lengyel,Eszter Bokányi,Riccardo Di Clemente,Riccardo Di Clemente,Riccardo Di Clemente,János Kertész,Marta C. González,Marta C. González,Marta C. González +8 more
TL;DR: In this article, the authors analyzed the spatial adoption dynamics of iWiW, an Online Social Network (OSN) in Hungary and uncover empirical features about the spatial diffusion in social networks.
The role of geography in the complex diffusion of innovations
Balázs Lengyel,Eszter Bokányi,Riccardo Di Clemente,Riccardo Di Clemente,Riccardo Di Clemente,János Kertész,Marta C. González,Marta C. González,Marta C. González +8 more
TL;DR: This work analyzes the spatial adoption dynamics of iWiW, an Online Social Network in Hungary and finds that the number of adopters as a function of town population follows a scaling law that reveals a strongly concentrated early adoption in large towns and a less concentrated late adoption.
•Proceedings Article
StructInf: Mining structural influence from social streams
Jing Zhang,Jie Tang,Yuanyi Zhong,Yuchen Mo,Juanzi Li,Guojie Song,Wendy Hall,Jimeng Sun +7 more
- 01 Jan 2017
TL;DR: This paper introduces a novel notion of structural influence and studies how to efficiently discover structural influence patterns from social streams by presenting three sampling algorithms with theoretical unbiased guarantee to speed up the discovery process.
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