App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

Mobile applications (apps) are software developed for use on mobile devices and made
available through app stores. App stores are highly competitive markets where developers …

In order to appeal to consumers, mobile application stores face the challenge of finding
ways to achieve the seemingly conflicting goals of providing a large quantity of applications …

The Internet of Things (IoT) application market (IAM) is supposed to be an effective approach
for service distribution in the era of IoT. To protect the privacy and security of users, a …

We have a wide breadth of computational tools available today that enable a more ethical
approach to the study of human cognition and behavior. We argue that the use of computer …

App stores are one of the most popular ways of providing content to mobile device users
today. But with thousands of competing apps and thousands new each day, the problem of …

We present a survey of the first 21 years of web-based artificial life (WebAL) research and
applications, broadly construed to include the many different ways in which artificial life and …

Natural ecosystems exhibit complex dynamics of interacting species. Man-made ecosystems
exhibit similar dynamics and, in the case of mobile app stores, can be said to perform …

The world of mobile applications is relatively young. However, it has already grown and will
continue to expand in the future. Consequently, an increasing number of mobile application …

App Store Analysis concerns the mining of data from apps, made possible through app
stores. This thesis extracts publicly available data from app stores, in order to detect and …