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      Three decades of halal food scholarly publications: A PubMed bibliometric network analysis

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      International Journal of Consumer Studies
      Wiley

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          Abstract

          Halal food research has witnessed a distinct proliferation during the past decade. In this article, we examine the intellectual structure of the field based on 302 PubMed documents written by 686 authors representing 45 nations and spanning 30 years (1990–2019). The study applies bibliometric network techniques to explore the halal food impactful authors, influential journals, collaboration networks and emerging trends. Social network analysis (SNA) techniques are also used to unearth and mine the intellectual structure of the field. Additionally, we use keyword co‐occurrence techniques to scrutinize the field's major schools of thought. Results show that the most impactful PubMed outlets publishing halal food research include Food Chemistry, Meat Science, and the Journal of the Science of Food and Agriculture. Results also show that the authors' collaboration network in halal food is sparse. Furthermore, results reveal a global “North–South” schism between nations within the domain. Finally, the multiple correspondence analysis (MCA) applied to obtain the halal food research conceptual map and its intellectual structure reflects the depth and breadth of the field.

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          Collective dynamics of 'small-world' networks.

          Networks of coupled dynamical systems have been used to model biological oscillators, Josephson junction arrays, excitable media, neural networks, spatial games, genetic control networks and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random. But many biological, technological and social networks lie somewhere between these two extremes. Here we explore simple models of networks that can be tuned through this middle ground: regular networks 'rewired' to introduce increasing amounts of disorder. We find that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. We call them 'small-world' networks, by analogy with the small-world phenomenon (popularly known as six degrees of separation. The neural network of the worm Caenorhabditis elegans, the power grid of the western United States, and the collaboration graph of film actors are shown to be small-world networks. Models of dynamical systems with small-world coupling display enhanced signal-propagation speed, computational power, and synchronizability. In particular, infectious diseases spread more easily in small-world networks than in regular lattices.
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            Finding and evaluating community structure in networks

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              Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace.

              Regenerative medicine involves research in a number of fields and disciplines such as stem cell research, tissue engineering and biological therapy in general. As research in these areas advances rapidly, it is critical to keep abreast of emerging trends and critical turns of the development of the collective knowledge.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                International Journal of Consumer Studies
                Int J Consumer Studies
                Wiley
                1470-6423
                1470-6431
                July 2022
                May 23 2022
                July 2022
                : 46
                : 4
                : 1058-1075
                Affiliations
                [1 ] Department of Marketing, College of Business Gulf University for Science and Technology West Mishref Kuwait
                Article
                10.1111/ijcs.12813
                f102adf6-5f4d-4a58-ac8b-5b282fc2dab6
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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