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Formation of Social Networks and Diffusion of Innovations

Author

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  • Frédéric Deroïan

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Some innovations need delay to diffuse, others often fail. The formation of social networks is a possible explanation. Considering a population of potential adopters of a technology, we set-up a model composed of interacting agents. Interaction is conceived as influence effects and the network of interpersonal influences is learning step-by-step. The gradual formation of the social network leads, after a period of latency, to a collective evaluation of the innovation.

Suggested Citation

  • Frédéric Deroïan, 2002. "Formation of Social Networks and Diffusion of Innovations," Post-Print halshs-00369733, HAL.
    • Handle: RePEc:hal:journl:halshs-00369733
    DOI: 10.1016/S0048-7333(01)00147-0
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    Cited by:

    1. Klaas, Brian S. & Klimchak, Malayka & Semadeni, Matthew & Holmes, Jeanne Johnson, 2010. "The adoption of human capital services by small and medium enterprises: A diffusion of innovation perspective," Journal of Business Venturing, Elsevier, vol. 25(4), pages 349-360, July.
    2. Samadi, Mohammadreza & Nikolaev, Alexander & Nagi, Rakesh, 2016. "A subjective evidence model for influence maximization in social networks," Omega, Elsevier, vol. 59(PB), pages 263-278.
    3. Biagia De Devitiis & Antonio Lopolito & Ornella Wanda Maietta & Roberta Sisto, 2009. "Adozione di Innovazioni e Variabili Relazionali nelle Imprese del Comparto Biologico," Quaderni DSEMS 18-2009, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    4. Denise Baden & Swarna Prasad, 2016. "Applying Behavioural Theory to the Challenge of Sustainable Development: Using Hairdressers as Diffusers of More Sustainable Hair-Care Practices," Journal of Business Ethics, Springer, vol. 133(2), pages 335-349, January.
    5. van Alphen, Klaas & Noothout, Paul M. & Hekkert, Marko P. & Turkenburg, Wim C., 2010. "Evaluating the development of carbon capture and storage technologies in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 971-986, April.
    6. Soekijad, M. & Walschots, J. & Huysman, M., 2008. "Congestion at the floating road? Negotiation in networked innovation," Serie Research Memoranda 0002, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. Joachim Henkel & Jörn Block, 2013. "Peer influence in network markets: a theoretical and empirical analysis," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 925-953, November.
    8. Rui Leite & Aurora Teixeira, 2012. "Innovation diffusion with heterogeneous networked agents: a computational model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 125-144, October.
    9. Olsen, Jane & Lee, Boon-Chye & Hodgkinson, Ann, 2006. "Innovation in Small and Medium-Sized Enterprises: A Study of Businesses in New South Wales, Australia," Economics Working Papers wp06-04, School of Economics, University of Wollongong, NSW, Australia.
    10. Jean-Philippe Cointet & Camille Roth, 2007. "How Realistic Should Knowledge Diffusion Models Be?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-5.
    11. Wink, Ruediger, 2002. "The transregional dimension of territorial knowledge management. An evolutionary perspective on the role of universities," ERSA conference papers ersa02p496, European Regional Science Association.
    12. Rajdeep Grewal & Gary L. Lilien & Girish Mallapragada, 2006. "Location, Location, Location: How Network Embeddedness Affects Project Success in Open Source Systems," Management Science, INFORMS, vol. 52(7), pages 1043-1056, July.
    13. Giardini, G.S.Y. & da Cunha, C.R., 2024. "Chain reaction of ideas: Can radioactive decay predict technological innovation?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 654(C).
    14. Roth, Camille, 2007. "Empiricism for descriptive social network models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 53-58.
    15. Joana Almodovar & Aurora A.C. Teixeira, 2014. "Assessing the Importance of Local Supporting Organizations in the Automotive Industry: A Hybrid Dynamic Framework of Innovation Networks," European Planning Studies, Taylor & Francis Journals, vol. 22(4), pages 841-865, April.
    16. Oriana Villarroel-Molina & Carmen De-Pablos-Heredero & Jaime Rangel & María Prosperina Vitale & Antón García, 2021. "Usefulness of Network Analysis to Characterize Technology Leaders in Small Dual-Purpose Cattle Farms in Mexico," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    17. Kirstie Cadger & Andrews K. Quaicoo & Evans Dawoe & Marney E. Isaac, 2016. "Development Interventions and Agriculture Adaptation: A Social Network Analysis of Farmer Knowledge Transfer in Ghana," Agriculture, MDPI, vol. 6(3), pages 1-14, July.
    18. Edamisan Stephen Ikuemonisan & Igbekele Amos Ajibefun, 2021. "Economic Implications of Smallholders’ Collaborative Groupings on Household Income and Adaptability to Climate Change in Nigeria," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    19. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    20. Ceci, Federica & Iubatti, Daniela, 2012. "Personal relationships and innovation diffusion in SME networks: A content analysis approach," Research Policy, Elsevier, vol. 41(3), pages 565-579.
    21. Bodo, Peter, 2016. "MADness in the method: On the volatility and irregularity of technology diffusion," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 2-11.

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