search query: @keyword Bayesian Network / total: 11
reference: 2 / 11
« previous | next »
Author:Mobarek, Ahmed
Title:Demand modeling for mobile app stores
Publication type:Master's thesis
Publication year:2014
Pages:ix + 67 s. + liitt. 4      Language:   eng
Department/School:Tietoliikenne- ja tietoverkkotekniikan laitos
Main subject:Network Economics   (ETA3003)
Supervisor:Kilkki, Kalevi
Instructor:Finley, Benjamin
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201409012570
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  1685   | Archive
Keywords:app
mobile app stores
Apple App Store
Google Play
app developers
Bayesian Network
Abstract (eng):Smartphones have reached a relatively high market share of the mobile market, creating new market opportunities.
As a result, different stakeholders are investing in the mobile industry attempting to generate a higher revenue share.
Hence, competition between various mobile device manufacturers has increased, as they compete for customers.
These device manufacturers have created their own ecosystems, trying to lock-in their customers.
These ecosystems include the application (app) stores providing services for mobile users.
Currently, the two leading app stores are the Apple App Store and Google Play.
Similarly, the competition exists among app developers of both stores.
Therefore, it is vital to understand the user demands to design a successful app is popular in these stores.
This thesis identifies successful app categories for both app stores from the perspective of an app developer.
It adopts basic descriptive analysis for the dataset provided during September and October 2013 regarding the US and Finnish markets.
Furthermore, it introduces a probabilistic graphical model based on Bayesian Network, aiming to understand the dynamics of mobile app stores.
The thesis defines the success indicator for each category of apps, and then compares the results of both app stores.
The top successful app categories in the US market include Social Networking, Productivity, Music, Finance, Education, Sports, Entertainment, and Travel.
The corresponding app categories in Finland include Social Networking, Finance, Education, Music, Productivity, Entertainment, Photos and Video, Lifestyle, Games, and News.
The thesis concludes that Google Play has higher success indicators than Apple App Store both in US and Finnish markets.
Additionally, the success indicator is higher for free apps compared to paid apps.
The results of this research contribute to recommendations for developers, during the development and publishing stages of an app, as well as building marketing strategies for mobile apps.
Furthermore, it suggests a framework to identify successful apps in mobile app stores.
ED:2014-09-21
INSSI record number: 49710
+ add basket
« previous | next »
INSSI