Abstract
Economic agents’ behavior during the last 40 years had tremendously changed from perfect competition to cooperation between them, and coopetition phenomenon was revealed. This phenomenon is always based on the certain entrepreneurial network. The paper is focused on entrepreneurial networks which are geographically localized. Such networks are formed as a result of two different types of cooperation: production cluster cooperation and cooperation in a community. The main goal of the present study is to find differences between internal structures of these two types entrepreneurial networks. Data was collected using experimental economic techniques, it was represented in the form of transactions between network agents and was aggregated over the certain time period. Social Network Analysis (SNA) methods and instruments were used in this research. Detailed structure analysis was based on the set of quantitative parameters such as density, diameter, clustering coefficient, different kinds of centrality, and etc. The entrepreneurial networks of two production clusters and three cooperative communities were under investigation. These networks were compared with each other and also with random Bernoulli graphs of the corresponding size and density. It was found that cooperative community networks are more random and dense than the production cluster ones and their other parameters also differ. Discovered variations of network structures are explained by the peculiarities of agents functioning in these two type networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Porter, M.E.: The Competitive Advantage of Nations. Harvard Business Review, pp. 72–91 (1990)
Mc Millan, D.W., Chavis, D.M.: Sense of community: a definition and theory. Am. J. Commun. Psychol. 14(1), 6–23 (1986)
Pitelis, C., Sugden, R.: The Nature of the Transnational Firm. Routledge, London (2000)
Birch, D., Liesch, P.W.: Moneyless business exchange: practitioners’ attitudes to business-to-business barter in Australia. Ind. Mark. Manag. 27, 329–340 (1998)
Gnyawali, D.R., Park, B.J.R.: Coopetition and technological innovation in small and medium-sized enterprises: a multilevel conceptual model. J. Small Bus. Manag. 47(3), 308–330 (2009). doi:10.1111/j.1540-627X.2009.00273.x
Wikipedia. The Free Encyclopedia. https://en.wikipedia.org/wiki/Coopetition
Uzzi, B.: The sources and consequences of embeddedness for the economic performance of organizations: the network effect. Am. Sociol. Rev. 61(4), 674–698 (1996)
Lietar, B.A.: The Future of Money: Creating New Wealth, Work and Wiser World. M. KRPA Olymp: AST: Astrel, Moscow (2007)
Davis, D.D., Holt, C.A.: Experimental Economics. Princeton University Press, Princeton (1993)
Gesell, S.: The Natural Economic Order (Translation by Philip Pye). Peter Owen Ltd., London (1958)
Popkov, V.V., Berg, D.B., Ulyanova, E.A., Selezneva, N.A.: Commodity and financial networks in regional economics r-economy, vol. 1, issue 2, pp. 305–314 (2015). doi:10.17059/e-2015-2-13. http://r-economy.ru/?page_id=257
Berg, D.B., Zvereva, O.M.: Identification of autopoietic communication patterns in social and economic networks. In: Khachay, M.Y., Konstantinova, N., Panchenko, A., Ignatov, D.I., Labunets, V.G. (eds.) AIST 2015. CCIS, vol. 542, pp. 286–294. Springer, Heidelberg (2015). doi:10.1007/978-3-319-26123-2_28
Newman, M.E.J.: The structure and function of complex networks. SIAM Rev. 45(2), 168–256 (2003)
Costa, L.D.F., Rodrigues, F.A., Travieso, G., Villas Boas, P.R.: Characterization of complex networks: a survey of measurements. Adv. Phys. 56(1), 167–242 (2007)
Hanneman, R.A., Riddle, M.: Introduction to Social Network Methods. http://faculty.ucr.edu/~hanneman/nettext/
Phan, B., Engo-Monsen, K., Fjeldstad, O.D.: Considering clustering measures: third ties, means, and triplets. Soc. Netw. 35(3), 300–308 (2013)
Faust, K.: Comparing social networks: size, density and local structure. Metodološki Zvezki 3(2), 185–216 (2006)
Marsden, P.V.: Network data and measurement. Ann. Rev. Sociol. 16, 435–446 (1990)
Borgatti, S.P., Everett, M.G., Freeman, L.C.: Ucinet for Windows: Software for Social Network Analysis. Analytic Technologies, Harvard (2002)
Berg, D., Zvereva, O., Shelomentsev, A., Taubayev, A.: Autopoietic structures in local economic systems. In: 15th International Conference Proceedings on Multidisciplinary Scientific Geoconference SGEM 2015, Ecology, Economics, Education and Legislation, Ecology and Environmental Protection, vol. I, pp. 109–117, 18–24 June, 2015, Albena, Bulgaria. Published by STEF92 Technology Ltd. (2015)
Acknowledgements
Present study was carried out under financial support of the Russian Fund of Fundamental Research grant №. 15-06-04863 “Mathematical models of local payment system lifecycles”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Berg, D.B., Davletbaev, R.H., Nazarova, Y.Y., Zvereva, O.M. (2017). The Detailed Structure of Local Entrepreneurial Networks: Experimental Economic Study. In: Ignatov, D., et al. Analysis of Images, Social Networks and Texts. AIST 2016. Communications in Computer and Information Science, vol 661. Springer, Cham. https://doi.org/10.1007/978-3-319-52920-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-52920-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52919-6
Online ISBN: 978-3-319-52920-2
eBook Packages: Computer ScienceComputer Science (R0)