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Estimating country-level social network density and supportive surroundings by simulation

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  • Shim, Jaehu
  • Kim, Jiyoung

Abstract

The purpose of this study is to estimate country-level social network properties by reproducing plausible social network structures of each country. For this purpose, we suggest and utilize a novel simulation procedure using Agent-Based Modeling and Simulation (ABMS) method and the Global Entrepreneurship Monitor (GEM) data. Specifically, we estimate two types of country-level social network properties that can be related to entrepreneurial activities, i.e. social network density and supportive surroundings in each country. For the estimation, we use a social network-related question in the GEM questionnaire – “Do you know someone personally who started a business in the past 2 years?” As a result, this study provides estimated values of the social network properties for 69 countries. In doing so, this study suggests a simulation procedure for estimating the country-level social network properties, provides estimated values of the properties that can be utilized in future studies, and proposes potential roles of the country-level social network structure as a contextual factor that can affect individuals’ entrepreneurial activities.

Suggested Citation

  • Shim, Jaehu & Kim, Jiyoung, 2018. "Estimating country-level social network density and supportive surroundings by simulation," Journal of Business Venturing Insights, Elsevier, vol. 9(C), pages 24-31.
    • Handle: RePEc:eee:jobuve:v:9:y:2018:i:c:p:24-31
    DOI: 10.1016/j.jbvi.2017.12.002
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    2. Gustavo Barrera-Verdugo, 2021. "Impact of self-perceptions, social norms, and social capital on nascent entrepreneurs: a comparative analysis by level of economic development in Latin American countries," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-19, December.
    3. Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.

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