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PAKDD
2015
ACM

Predicting Smartphone Adoption in Social Networks

7 years 11 months ago
Predicting Smartphone Adoption in Social Networks
The recent advancements in online social networks and mobile devices have provided valuable data sources to track users’ smartphone adoption, i.e., the usage of smartphones over time. An incisive understanding of users’ smartphone adoption can benefit many useful applications, ranging from user behavior understanding to targeted marketing. This paper studies smartphone adoption prediction in social networks by leveraging the wisdom of an online world. A critical challenge along this line is to identify the key factors that underline people’s adoption behaviors and distinguish the relative contribution of each factor. Specifically, we model the final smartphone status of each user as a result of three influencing factors: the social influence factor, the homophily factor, and the personal factor. We further develop a supervised model that takes all three factors for smartphone adoption and at the same time learns the relative contribution of each factor from the data. Experim...
Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, X
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where PAKDD
Authors Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui
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