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Open AccessJournal ArticleDOI

A Large-Scale Analysis of Facebook’s User-Base and User Engagement Growth

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TLDR
The conducted analysis reveals that Facebook is still growing and geographically expanding; the growth pattern is heterogeneous across age groups, genders, and geographical regions; and from a demography perspective, Facebook shows the lowest growth pattern among adolescents.
Abstract
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 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.

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Presence and mobility of the population during the first wave of Covid-19 outbreak and lockdown in Italy.

TL;DR: In this article, the authors studied the mobility dynamics and spatial distribution of people during lockdown in Italy and observed that tourists left the country and later Italians abroad managed to return, thereby, stabilising the population.
Proceedings ArticleDOI

How Biased is the Population of Facebook Users? Comparing the Demographics of Facebook Users with Census Data to Generate Correction Factors

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A Deception Model Robust to Eavesdropping Over Communication for Social Network Systems

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The role of geography in the complex diffusion of innovations

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References
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Book

Diffusion of Innovations

TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
Journal ArticleDOI

Diffusion of Innovations

Journal ArticleDOI

Social Network Sites: Definition, History, and Scholarship

TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and which are likely to be copyrighted.
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The Life Cycle Completed

TL;DR: In this article, Erikson's complete psychological theory, including the identity crisis, the interdependence of history and life history, the life cycle, and the theory that maturity is not the end of psychological growth, is discussed.
Journal ArticleDOI

Understanding Technology Adoption: Theory and Future Directions for Informal Learning:

TL;DR: In this article, the authors examine individuals' computing adoption processes through the lenses of three adoption theories: Rogers's innovation diffusion theory, the Concerns-Based Adoption Model, the Technology Acceptance Model, and the United Theory of Acceptance and Use of Technology.
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