Smartphone app usage analysis: datasets, methods, and applications
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …
users has increased dramatically over the last decade. These personal devices, which are …
Mining smartphone data for app usage prediction and recommendations: A survey
H Cao, M Lin - Pervasive and Mobile Computing, 2017 - Elsevier
Smartphones nowadays have become indispensable personal gadgets to support our
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …
activities in almost every aspect of our lives. Thanks to the tremendous advancement of …
[图书][B] Social physics: How good ideas spread-the lessons from a new science
A Pentland - 2014 - books.google.com
From one of the world's leading data scientists, a landmark tour of the new science of idea
flow, offering revolutionary insights into the mysteries of collective intelligence and social …
flow, offering revolutionary insights into the mysteries of collective intelligence and social …
Social fMRI: Investigating and shaping social mechanisms in the real world
We introduce the Friends and Family study, a longitudinal living laboratory in a residential
community. In this study, we employ a ubiquitous computing approach, Social Functional …
community. In this study, we employ a ubiquitous computing approach, Social Functional …
Understanding the impact of personality traits on mobile app adoption–Insights from a large-scale field study
The sheer amount of available apps allows users to customize smartphones to match their
personality and interests. As one of the first large-scale studies, the impact of personality …
personality and interests. As one of the first large-scale studies, the impact of personality …
Predicting the next app that you are going to use
R Baeza-Yates, D Jiang, F Silvestri… - Proceedings of the eighth …, 2015 - dl.acm.org
Given the large number of installed apps and the limited screen size of mobile devices, it is
often tedious for users to search for the app they want to use. Although some mobile OSs …
often tedious for users to search for the app they want to use. Although some mobile OSs …
Predicting user traits from a snapshot of apps installed on a smartphone
Third party apps are an integral component of the smartphone ecosystem. In this paper, we
investigate how user traits can be inferred by observing only a single snapshot of installed …
investigate how user traits can be inferred by observing only a single snapshot of installed …
Predicting adoption probabilities in social networks
In a social network, adoption probability refers to the probability that a social entity will adopt
a product, service, or opinion in the foreseeable future. Such probabilities are central to …
a product, service, or opinion in the foreseeable future. Such probabilities are central to …
Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns
Reliable smartphone app prediction can strongly benefit both users and phone system
performance alike. However, real-world smartphone app usage behavior is a complex …
performance alike. However, real-world smartphone app usage behavior is a complex …
Habitual entrepreneurship in digital platform ecosystems: A time-contingent model of learning from prior software project experiences
The emergence of large-scale digital platforms such as Facebook, Google Play and Apple
App Store around 2008 has created opportunities for independent entrepreneurs to offer …
App Store around 2008 has created opportunities for independent entrepreneurs to offer …