IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0164476.html
   My bibliography  Save this article

Diffusion Dynamics of Energy Saving Practices in Large Heterogeneous Online Networks

Author

Listed:
  • Neda Mohammadi
  • Qi Wang
  • John E Taylor

Abstract

Online social networks are today’s fastest growing communications channel and a popular source of information for many, so understanding their contribution to building awareness and shaping public perceptions of climate change is of utmost importance. Today’s online social networks are composed of complex combinations of entities and communication channels and it is not clear which communicators are the most influential, what the patterns of communication flow are, or even whether the widely accepted two-step flow of communication model applies in this new arena. This study examines the diffusion of energy saving practices in a large online social network across organizations, opinion leaders, and the public by tracking 108,771 communications on energy saving practices among 1,084 communicators, then analyzing the flow of information and influence over a 28 day period. Our findings suggest that diffusion networks of messages advocating energy saving practices are predominantly led by the activities of dedicated organizations but their attempts do not result in substantial public awareness, as most of these communications are effectively trapped in organizational loops in which messages are simply shared between organizations. Despite their comparably significant influential values, opinion leaders played a weak role in diffusing energy saving practices to a wider audience. Thus, the two-step flow of communication model does not appear to describe the sharing of energy conservation practices in large online heterogeneous networks. These results shed new light on the underlying mechanisms driving the diffusion of important societal issues such as energy efficiency, particularly in the context of large online social media outlets.

Suggested Citation

  • Neda Mohammadi & Qi Wang & John E Taylor, 2016. "Diffusion Dynamics of Energy Saving Practices in Large Heterogeneous Online Networks," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-23, October.
  • Handle: RePEc:plo:pone00:0164476
    DOI: 10.1371/journal.pone.0164476
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0164476
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0164476&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0164476?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Qi Xuan & Chenbo Fu & Li Yu, 2014. "Ranking Developer Candidates By Social Links," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 17(07n08), pages 1-19.
    2. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    3. Sander L van der Linden & Anthony A Leiserowitz & Geoffrey D Feinberg & Edward W Maibach, 2015. "The Scientific Consensus on Climate Change as a Gateway Belief: Experimental Evidence," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-8, February.
    4. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    5. Gabriela Tavares & Aldo Faisal, 2013. "Scaling-Laws of Human Broadcast Communication Enable Distinction between Human, Corporate and Robot Twitter Users," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yash Chawla & Anna Kowalska-Pyzalska, 2019. "Public Awareness and Consumer Acceptance of Smart Meters among Polish Social Media Users," Energies, MDPI, vol. 12(14), pages 1-27, July.
    2. Kim, Jooho & Hastak, Makarand, 2018. "Social network analysis: Characteristics of online social networks after a disaster," International Journal of Information Management, Elsevier, vol. 38(1), pages 86-96.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    2. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    3. Fang Di & Richards Timothy J. & Grebitus Carola, 2019. "Modeling Product Choices in a Peer Network," Forum for Health Economics & Policy, De Gruyter, vol. 22(1), pages 1-13, June.
    4. Maise Soares Pereira & Ivan Lapuente Garrido & Celso Augusto de Matos, 2015. "Firm-Created Word-of-Mouth Recommendation: is it Also Worthwhile?," Brazilian Business Review, Fucape Business School, vol. 12(3), pages 91-118, May.
    5. Claus, Bart & Geyskens, Kelly & Millet, Kobe & Dewitte, Siegfried, 2012. "The referral backfire effect: The identity-threatening nature of referral failure," International Journal of Research in Marketing, Elsevier, vol. 29(4), pages 370-379.
    6. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    7. Williams, Martin & Buttle, Francis, 2011. "The Eight Pillars of WOM management: Lessons from a multiple case study," Australasian marketing journal, Elsevier, vol. 19(2), pages 85-92.
    8. Pescher, Christian & Spann, Martin, 2014. "Relevance of actors in bridging positions for product-related information diffusion," Journal of Business Research, Elsevier, vol. 67(8), pages 1630-1637.
    9. Vijay Viswanathan & Sebastian Tillmanns & Manfred Krafft & Daniel Asselmann, 2018. "Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and opinion leadership," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1108-1132, November.
    10. Pescher, Christian & Reichhart, Philipp & Spann, Martin, 2014. "Consumer Decision-making Processes in Mobile Viral Marketing Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 43-54.
    11. Tiwari, Ashutosh & Richards, Timothy J., 2013. "Anonymous Social Networks versus Peer Networks in Restaurant Choice," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150467, Agricultural and Applied Economics Association.
    12. Sebastian Schneider & Frank Huber, 2022. "You paid what!? Understanding price-related word-of-mouth and price perception among opinion leaders and innovators," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 64-80, February.
    13. Colleen M. Harmeling & Jordan W. Moffett & Mark J. Arnold & Brad D. Carlson, 2017. "Toward a theory of customer engagement marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 312-335, May.
    14. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
    15. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
    16. Tingting Song & Qian Tang & Jinghua Huang, 2019. "Triadic Closure, Homophily, and Reciprocation: An Empirical Investigation of Social Ties Between Content Providers," Information Systems Research, INFORMS, vol. 30(3), pages 912-926, September.
    17. Guiyang Xiong & Sundar Bharadwaj, 2014. "Prerelease Buzz Evolution Patterns and New Product Performance," Marketing Science, INFORMS, vol. 33(3), pages 401-421, May.
    18. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    19. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    20. Menon, Kalyani & Ranaweera, Chatura, 2018. "Beyond close vs. distant ties: Understanding post-service sharing of information with close, exchange, and hybrid ties," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 154-169.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0164476. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.