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Author:Nazari, Marzia
Title:Analyzing mobile web usage characteristics
Publication type:Master's thesis
Publication year:2011
Pages:x + 68      Language:   eng
Department/School:Tietoliikenne- ja tietoverkkotekniikan laitos
Main subject:Tietoverkkotekniikka   (S-38)
Supervisor:Ott, Jörg
Instructor:Pitkänen, Mikko
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

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Location:P1 Ark Aalto  2656   | Archive
Keywords:mobile cellular network
mobile web usage
web traffic measurement
Abstract (eng): Mining and analysing mobile network data and data traffic is important for understanding human behaviour and interests and understanding how users take advantage of the Internet.
The descriptive statistics from the analysis show what these usage characteristics are.
These findings can tell about the optimal configurations for web servers, network entities, future hardware and protocol specifications for new mobile devices and finally what to consider when creating new online resources.

This thesis examines the mobile cellular network for user behaviour and web traffic characteristics.
It shows the share of browsers, applications and devices users use to navigate through the Internet, the most popular online resources, users' access time and access frequency to different websites, and how web access differs during different hours of day.

The study shows the appearance of new applications, operating systems and browsers that are growing in share and taking the place of the ones known to users for a long time.
Among these are the growing popularity of devices such as iPhone and Android, the growing usage of Mozilla Firefox and Opera and finally change in users' preferences for content types.

Mobile Internet is not any more used only for checking emails quickly; rather with the start of the dominance of social networking, mobile connections have grown as well and are going to overtake the fixed Internet by the next few years.
Better measurement tools and analysis methods are needed to evaluate user's experience, methods that can analyse users' usage characteristics in more automated way and use the findings in various phases of a product's life.
ED:2012-01-23
INSSI record number: 43828
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