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      Online activity of mosques and Muslims in the Netherlands: A study of Facebook, Instagram, YouTube and Twitter

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          Abstract

          Research on Muslim minorities in western societies has mainly focused on offline behavior, such as mosque attendance, whereas little is known about their presence in the online world. This study explores the online visibility and activities of all (478) mosques in the Netherlands. We collected data on personal websites and four social media platforms (Facebook, Twitter, Instagram and YouTube). The majority of mosques have a website (52%) and an account on Facebook (61%). Less often used are Twitter (17%), Instagram (17%) and YouTube (19%). On social media platforms, mosques strongly differ in their activity and number of followers. We find evidence to suggest that Salafist mosques, which tend to have a strict ideology, are more active on Twitter and YouTube, and also attract a larger share of followers on Facebook than non-Salafist mosques. Our more fine-grained analysis on Twitter shows that Salafist mosques in the Netherlands cluster together. Followers of Salafist mosques make up a community of users who are mainly connected to each other (“bonding ties”), and much less so to other users (“bridging ties”). We conclude with a discussion of opportunities for studying the online presence and activities of mosques and Muslims in western societies.

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          Most cited references77

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            Social Capital in the Creation of Human Capital

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              Emergence of Scaling in Random Networks

              Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Data curationRole: Formal analysisRole: Investigation
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 July 2021
                2021
                : 16
                : 7
                : e0254881
                Affiliations
                [1 ] Department of Sociology, Utrecht University, Utrecht, Netherlands
                [2 ] Netherlands Interdisciplinary Demographic Institute, KNAW/University of Groningen, The Hague, Netherlands
                [3 ] The Institute for Analytical Sociology, Linköping University, Linköping, Sweden
                King Abdulaziz University, SAUDI ARABIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6415-2877
                https://orcid.org/0000-0003-3434-2300
                Article
                PONE-D-20-19582
                10.1371/journal.pone.0254881
                8297904
                34293024
                69dee677-0420-411e-909a-43af91550a9f
                © 2021 van Tubergen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 June 2020
                : 7 July 2021
                Page count
                Figures: 3, Tables: 6, Pages: 19
                Funding
                Funded by: royal netherlands academy of arts and sciences
                Award ID: Ammodo KNAW award 2015
                FvT received support for this research from the Royal Netherlands Academy of Arts and Sciences (Ammodo KNAW award 2015). The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Twitter
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Twitter
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Twitter
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Facebook
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Facebook
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Facebook
                Computer and Information Sciences
                Computer Networks
                Internet
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Social Sciences
                Anthropology
                Cultural Anthropology
                Ethnic Groups
                People and Places
                Demography
                Ethnic Groups
                People and places
                Geographical locations
                Europe
                European Union
                Netherlands
                People and Places
                Geographical Locations
                Europe
                Custom metadata
                Data are available here: https://doi.org/10.17026/dans-zem-9g7g.

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