xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission Ministerio de Economía y Competitividad (España)
Sponsor:
The work of Y. M. Kassa was supported by the European H2020 Project TYPES under Grant 653449. The work of R. Cuevas was
supported in part by the European H2020 Project SMOOTH under Grant 786741, in part by the Spanish Ministry of Economy and
Competitiveness, through the 5GCity Project, under Grant TEC2016-76795-C6-3-R, and in part by the La Caixa Foundation under
Agreement LCF/PR/MIT17/11820009. The work of A. Cuevas was supported in part by the Ministerio de Economía, Industria y
Competitividad, Spain, in part by the European Social Fund through the Ramón Y Cajal under Grant RyC-2015-17732, and in part by the
Ministerio de Economía, Industria y Competitividad, Spain, through the Project TEXEO, under Grant TEC2016-80339-R.
Project:
info:eu-repo/grantAgreement/EC/GA-653449-TYPES Gobierno de España. TEC2016-76795-C6-3-R Gobierno de España. TEC2016-80339-R Gobierno de España. RYC-2015-17732 info:eu-repo/grantAgreement/EC/GA- 786741-SMOOTH
Keywords:
Social network services
,
Information services
,
Facebook
,
Technology social factors
Understanding the evolution of the user base as well as the user engagement of online services
is critical not only for the service operators but also for customers, investors, and users. While we can
find research works addressing this issue in online serviUnderstanding the evolution of the user base as well as the user engagement of online services
is critical not only for the service operators but also for customers, investors, and users. While we can
find research works addressing this issue in online services, such as Twitter, MySpace, or Google+, such
detailed analysis is missing for Facebook, which is currently the largest online social network. This paper
presents the first detailed study on the demographic and geographic composition and evolution of the user
base and user engagement in Facebook over a period of three years. To this end, we have implemented a
measurement methodology that leverages the marketing API of Facebook to retrieve actual information about
the number of total users and the number of daily active users across 230 countries and age groups ranging
between 13 and 65+. The conducted analysis reveals that Facebook is still growing and geographically
expanding. Moreover, the growth pattern is heterogeneous across age groups, genders, and geographical
regions. In particular, from a demography perspective, Facebook shows the lowest growth pattern among
adolescents. Gender-based analysis showed that growth among men is still higher than the growth in women.
Our geographical analysis reveals that while Facebook growth is slower in western countries, it has the fastest
growth in the developing countries mainly located in Africa and Central Asia; analyzing the penetration of
these countries also shows that these countries are at earlier stages of Facebook penetration. Leveraging
external socioeconomic datasets, we also showed that this heterogeneous growth can be characterized
by indicators, such as availability and access to Internet, Facebook popularity, and factors related with
population growth and gender inequality.[+][-]