CROSS-POLLINATION DYNAMICS OF WEB-BASED SOCIAL MEDIA: AN APPLICATION OF INSECT-MEDIATED POLLEN TRANSFER

Authors

  • Raul A. Barreto School of Economics and Political Science, The University of Adelaide, Adelaide SA, 5005 Australia Author
  • Angus Flavel CEO, Share Social Pty Ltd, 75A Lockwood Rd, Burnside SA 5066, Australia Author
  • Raphael Xelot-Wilson Researcher, Share Social Pty Ltd, 75A Lockwood Rd, Burnside SA 5066, Australia Author

DOI:

https://doi.org/10.29121/ShodhVichar.v2.i2.2026.114

Keywords:

Internet, Social Media, Pollinator

Abstract

We propose a model of cross-pollination among online social media (OSM) websites, where the dynamics of user interactions mimic insect-mediated pollen transfer by pollinators. A pollinator acts as a vehicle enabling users to visit multiple social media sites—akin to visiting different plants in the same field—within a single browsing session. This approach frames geitonogamy in self-incompatible plant species as analogous to the distribution of web traffic across the social media landscape. A theoretical pollinator, allowing users to choose among social media sites multiple times per trip, drives uneven increases in web traffic across platforms, disproportionately benefiting the largest social networks while providing tangible competitive advantages to smaller OSMs. This heterogeneous landscape fosters monopolistic competition among niche platforms, incentivizing smaller sites to promote cross-pollination despite the larger relative gains to their bigger competitors. Our findings underscore the broader value of cross-platform user engagement and parasocial relationships, highlighting how cross-pollination dynamics can intensify network effects and bolster interconnectivity. Cross pollination via new pass-through apps facilitates the movement of attention, deepening and distributing engagement across multiple destinations. As pass-through apps gain traction, their disproportionate impact on traffic to social media platforms will incentivize social media platforms, large and small, to embrace cross-pollination dynamics.

References

Addessi, E., Michael, J. B., Bourgeois-Gironde, S., Brosnan, S. F., and Leca, J. B. (2020). Are the Roots of Human Economic Systems Shared with Non-Human Primates? Neuroscience and Biobehavioral Reviews, 109, 1–15. https://doi.org/10.1016/j.neubiorev.2019.12.026 DOI: https://doi.org/10.1016/j.neubiorev.2019.12.026

Alm, J., and Barreto, R. A. (2024). Trust in Government in a Changing World: Shocks, Tax Evasion, and Economic Growth. The B.E. Journal of Macroeconomics, 24(1), 439–487. https://doi.org/10.1515/bejm-2024-0014 DOI: https://doi.org/10.1515/bejm-2024-0014

Aridor, G., Jimenez-Duran, R., Levy, R., and Song, L. (2024). The Economics of Social Media. SSRN. https://doi.org/10.2139/ssrn.4708840 DOI: https://doi.org/10.2139/ssrn.4708840

Barreto, R. A. (2018). Fossil Fuels, Alternative Energy and Economic Growth. Economic Modelling, 75, 196–220. https://doi.org/10.1016/j.econmod.2018.06.019 DOI: https://doi.org/10.1016/j.econmod.2018.06.019

Barreto, R. A. (2024). The Transitional Dynamics of Debt: Productivity Shocks, Fiscal Policy and Economic Growth. Journal of Advance Research in Mathematics and Statistics, 11(1), 109–128. https://doi.org/10.61841/e6wq0091 DOI: https://doi.org/10.61841/e6wq0091

Barreto, R. A., Kellett, J., Pierce, J. C., and Van den Hengel, A. (2022). I’m in Love with My Car: Psychological Attachment to Cars, Automated Vehicles and the Driverless Future. Journal of Transport Economics and Policy, 56(1), 28–55. https://doi.org/10.3828/jtep.2022.56.1.28 DOI: https://doi.org/10.3828/jtep.2022.56.1.28

Bourgeois-Gironde, S., Addessi, E., and Boraud, T. (2021). Economic Behaviours Among Non-Human Primates. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2019.0676 DOI: https://doi.org/10.1098/rstb.2019.0676

Calvert, A. L., Green, L., and Myerson, J. (2011). Discounting in Pigeons When the Choice is Between Two Delayed Rewards: Implications for Species Comparisons. Frontiers in Neuroscience, 5, Article 96. https://doi.org/10.3389/fnins.2011.00096 DOI: https://doi.org/10.3389/fnins.2011.00096

De Visser, L., Homberg, J. R., Mitsogiannis, M., Zeeb, F. D., Rivalan, M., Fitoussi, A., Galhardo, V., van den Bos, R., Winstanley, C. A., and Dellu-Hagedorn, F. (2011). Rodent Versions of the Iowa Gambling Task: Opportunities and Challenges for the Understanding of Decision-Making. Frontiers in Neuroscience, 5, Article 109. https://doi.org/10.3389/fnins.2011.00109 DOI: https://doi.org/10.3389/fnins.2011.00109

Dener, E., Kacelnik, A., and Shemesh, H. (2016). Pea Plants Show Risk Sensitivity. Current Biology, 26, 1763–1767. https://doi.org/10.1016/j.cub.2016.05.008 DOI: https://doi.org/10.1016/j.cub.2016.05.008

Di Pasquale, C., and Jacobi, C. M. (1998). Dynamics of Pollination: A Model of Insect-Mediated Pollen Transfer in Self-Incompatible Plants. Ecological Modelling, 109, 25–34. https://doi.org/10.1016/S0304-3800(97)00223-8 DOI: https://doi.org/10.1016/S0304-3800(97)00223-8

Dos Santos Coelho, L., de Andrade, B. D. L., and Mariani, V. C. (2013). A Chaotic Firefly Algorithm Applied to Reliability-Redundancy Optimization. In 2011 IEEE Congress on Evolutionary Computation (CEC) ( 517–521). IEEE. https://doi.org/10.1109/CEC.2011.5949662 DOI: https://doi.org/10.1109/CEC.2011.5949662

Gandomi, A. H., and Alavi, A. H. (2012). Krill herd: A New Bio-Inspired Optimization Algorithm. Communications in Nonlinear Science and Numerical Simulation, 17(12), 4831–4845. https://doi.org/10.1016/j.cnsns.2012.05.010 DOI: https://doi.org/10.1016/j.cnsns.2012.05.010

Hayden, B. Y., Heilbronner, S. R., and Platt, M. L. (2010). Ambiguity Aversion in Rhesus Macaques. Frontiers in Neuroscience, 4, Article 166. https://doi.org/10.3389/fnins.2010.00166 DOI: https://doi.org/10.3389/fnins.2010.00166

Jain, P., Rodrigues, T., Magno, G., Kumaraguru, P., and Almeida, V. (2013). Cross-Pollination of Information in Online Social Media: A Case Study on Popular Social Networks. Arxiv. https://doi.org/10.48550/arXiv.1301.6932

Kemp, S. (2012). Digital 2012: Global Overview Report. Datareportal.

Kemp, S. (2013). Digital 2013: Global Overview Report. Datareportal.

Kemp, S. (2014). Digital 2014: Global Overview Report. Datareportal.

Kemp, S. (2015). Digital 2015: Global Overview Report. DataReportal.

Kemp, S. (2016). Digital 2016: Global Digital Overview Report. DataReportal.

Kemp, S. (2017). Digital 2017: Global Overview Report. DataReportal.

Kemp, S. (2018). Digital 2018: Global Overview Report. DataReportal.

Kemp, S. (2019). Digital 2019: Global Overview Report. DataReportal.

Kemp, S. (2020). Digital 2020: Global Overview Report. DataReportal.

Kemp, S. (2021). Digital 2021: Global Overview Report. DataReportal.

Kemp, S. (2022). Digital 2022: Global Overview Report. DataReportal.

Kemp, S. (2023). Digital 2023: Global Overview Report. DataReportal.

Kemp, S. (2024). Digital 2024: Global Overview Report. DataReportal.

Kuhn, T. S. (1962). The Structure of Scientific Revolutions. University of Chicago Press.

Lim, J. S., Choe, M. J., Zhang, J., and Noh, G. Y. (2020). The Role of Wishful Identification, Emotional Engagement, and Parasocial Relationships in Repeated Viewing of Live-Streaming Games: A Social Cognitive Theory Perspective. Computers in Human Behavior, 108, Article 106327. https://doi.org/10.1016/j.chb.2020.106327 DOI: https://doi.org/10.1016/j.chb.2020.106327

Nguyen Le Anh, T., Vo, D. N., Ongsakul, W., Vasant, P., and Ganesan, T. (2015). Cuckoo Optimization Algorithm for Optimal Power Flow. In H. Handa, H. Ishibuchi, Y. S. Ong, and K. Tan (Eds.), Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (Vol. 1, 487–499). Springer. https://doi.org/10.1007/978-3-319-13359-1_37 DOI: https://doi.org/10.1007/978-3-319-13359-1_37

Yang, X. (2012). Flower Pollination Algorithm for Global Optimization. In J. Durand-Lose and N. Jonoska (Eds.), Unconventional Computation and Natural Computation ( 240–249). Springer. https://doi.org/10.1007/978-3-642-32894-7_27 DOI: https://doi.org/10.1007/978-3-642-32894-7_27

de Waal, F. B. M. (2021). How Animals do Business. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2019.0663 DOI: https://doi.org/10.1098/rstb.2019.0663

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Published

2026-07-30