IDEAS home Printed from https://ideas.repec.org/a/hin/complx/8201396.html
   My bibliography  Save this article

Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation

Author

Listed:
  • Kashif Zia
  • Arshad Muhammad
  • Abbas Khalid
  • Ahmad Din
  • Alois Ferscha

Abstract

Internet of Vehicles (IoV) is turning out to be one of the first impressive examples of Internet of Things (IoT). In IoV, the factors of connectivity and interaction/information dispersion are equally important as sensing/actuating, context-awareness, services provisioning, etc. However, most of the researches related to connectivity and interaction are constrained to physics of signaling and data science (semantics/contents), respectively. Very rapidly, the meanings of these factors are changing due to evolution of technologies from physical to social domain. For example, Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. Hence, in addition to physical aspects, the social aspects of connectivity and information dispersion towards these systems of future should also be researched, a domain so far ignored in this particular context. In this paper, an agent-based model of information sharing (for context-based recommendations) of a hypothetical population of smart vehicles is presented. Some important hypotheses are tested under reasonable connectivity and data constraints. The simulation results reveal that closure of social ties and its timing impacts the dispersion of novel information (necessary for a recommender system) substantially. It is also observed that as the network evolves due to incremental interactions, the recommendations guaranteeing a fair distribution of vehicles across equally good competitors is not possible.

Suggested Citation

  • Kashif Zia & Arshad Muhammad & Abbas Khalid & Ahmad Din & Alois Ferscha, 2019. "Towards Exploration of Social in Social Internet of Vehicles Using an Agent-Based Simulation," Complexity, Hindawi, vol. 2019, pages 1-13, April.
  • Handle: RePEc:hin:complx:8201396
    DOI: 10.1155/2019/8201396
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/8201396.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2019/8201396.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/8201396?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. Felix Wortmann & Kristina Flüchter, 2015. "Internet of Things," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(3), pages 221-224, June.
    2. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, 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. Mariusz Kostrzewski & Magdalena Marczewska & Lorna Uden, 2023. "The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance," Energies, MDPI, vol. 16(7), pages 1-20, April.

    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. Nicolae Cristina-Andreea & Roşca Mihai Ioan, 2021. "Opportunities and challenges of the Internet of Things," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 1069-1082, December.
    2. Anne-Sophie Brillinger, 2018. "Mapping Business Model Risk Factors," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-29, June.
    3. Nozari Hamed & Fallah Mohammad & Szmelter-Jarosz Agnieszka & Krzemiński Maciej, 2021. "Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 29(4), pages 149-171, December.
    4. Sean Kruger & Adriana Aletta Steyn, 2020. "Enhancing technology transfer through entrepreneurial development: practices from innovation spaces," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1655-1689, December.
    5. Marcus Fischer & David Heim & Adrian Hofmann & Christian Janiesch & Christoph Klima & Axel Winkelmann, 2020. "A taxonomy and archetypes of smart services for smart living," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 131-149, March.
    6. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    7. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    8. A. G. Fatullayev & Nizami A. Gasilov & Şahin Emrah Amrahov, 2019. "Numerical solution of linear inhomogeneous fuzzy delay differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 315-326, September.
    9. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    10. Philippe Aghion & Ufuk Akcigit & Matthieu Lequien & Stefanie Stantcheva, 2017. "Tax simplicity and heterogeneous learning," CEP Discussion Papers dp1516, Centre for Economic Performance, LSE.
    11. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    12. Chuangen Gao & Shuyang Gu & Jiguo Yu & Hai Du & Weili Wu, 2022. "Adaptive seeding for profit maximization in social networks," Journal of Global Optimization, Springer, vol. 82(2), pages 413-432, February.
    13. Koessler, Frederic & Laclau, Marie & Renault, Jérôme & Tomala, Tristan, 2022. "Long information design," Theoretical Economics, Econometric Society, vol. 17(2), May.
    14. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    15. Sebastian Kaumanns, 2019. "“Some fuzzy math”: relational information on debt value adjustments by managers and the financial press," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 755-794, December.
    16. Samuel J Gershman, 2015. "A Unifying Probabilistic View of Associative Learning," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-20, November.
    17. Marietheres Dietz & Günther Pernul, 2020. "Digital Twin: Empowering Enterprises Towards a System-of-Systems Approach," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(2), pages 179-184, April.
    18. Arun Advani, 2022. "Who does and doesn't pay taxes?," Fiscal Studies, John Wiley & Sons, vol. 43(1), pages 5-22, March.
    19. Steve Fortin & Ahmad Hammami & Michel Magnan, 2021. "Re‐exploring Fair Value Accounting and Value Relevance: An Examination of Underlying Securities," Abacus, Accounting Foundation, University of Sydney, vol. 57(2), pages 220-250, June.
    20. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.

    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:hin:complx:8201396. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.