CELLULAR AUTOMATA BASED MODELING OF THE FORMATION AND EVOLUTION OF SOCIAL NETWORKS - A Case in Dentistry
Rubens A. Zimbres, Eliane P. Z. Brito, Pedro P. B. de Oliveira
2008
Abstract
The stability and evolution of networks is a research area that is not well explored. There is an inadequate focus to the partner characteristics and to the environment influence over the evolution process. This study analysed social network formation in its dynamic aspect through agent-based modeling, using cellular automata. Relationships and decisions were modeled. Along the interactions the emergence of consensus in the network could be observed and the results show that the more impulsive the individuals in a network, the stronger will be the ties among them. Convergence of partner selection criteria could also be noticed. Additionally, a structural hole could be shown to have a local influence on how it moves an agent away from the network. This work waves positively towards using cellular automata in social (in the case, business) networks modeling, in spite of their well-known limitations for these kinds of problems.
References
- Albaum, G., 1967. Information flow and decentralised decision making in marketing. California Management Review, 9(4), 59-70.
- Aalchian, A.A. & Demsetz, H., 1972. Production, information costs, and economic organisation. American Economic Review, 62.
- Arrègle, J.L., Dacin, M.T., Hitt, M.A. & Borza, A., 2003. Les modèles de sèlection des partenaires dans le cadre d'une alliance internationale: perspectives de France et d'Europe centrale. Management International, 7(2).
- Axelrod, R., 1980. More effective choice in the Prisoner's Dilemma. Journal of Conflict Resolution, 24(3).
- Burt, R.S., 1997. The contingent value of social capital. Administrative Science Quarterly, 42, 339-365.
- Burt, R.S., 1976. Positions in networks. Social forces, 55(1).
- Carlson, W.L. & Thorne, B., 1997. Applied statistical methods for business, economics and the social sciences. Prentice Hall, New Jersey.
- Cederman, L.E., 2003. Computational models of social forms: Advancing generative macro theory. Paper prepared for presentation at the 8th Annual Methodology Meeting of the American Sociology Association, University of Washington, Seattle.
- Chwe, M.S., 1999. Structure and strategy in collective action. The American Journal of Sociology, 105(1).
- Crouse, H.J., 1991. The power of partnerships. Journal of Business Strategy, 12(6).
- Doz, Y.L. & Hamel, G., 1998. Alliance advantage: the art of creating value through partnering. Harvard Business School Press, Boston.
- Epstein, J.M. & Axtell, R., 1996. Growing artificial societies: Social science from the bottom up. MIT Press, Cambridge.
- Frenzen, J. & Nakamoto, K., 1993. Structure, cooperation, and the flow of market information. Journal of Consumer Research, 20, 360-375.
- Geringer, J.M., 1991. Strategic determinants of partner selection criteria in international joint ventures. Journal of International Business Studies, 22(1).
- Goldenberg, J., Libai, B. & Muller, E., 2001. Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing Letters, 12(3).
- Granovetter, M.S., 1973. The strength of weak ties. American Journal of Sociology, 78.
- Gulati, R., 1998. Alliances and networks. Strategic Management Journal. 19(4).
- Hamel, G., Doz, Y.L. & Prahalad, C.K., 1989. Collaborate with your competitors - and win. Harvard Business Review, 67(1).
- Hegselmann, R. & Flache, A., 2004. Understanding complex social dynamics: A plea for cellular automata based modeling. Journal of Artificial Societies and Social Simulation, 1(3).
- Herrnstein, R.J., 1990. Behavior, reinforcement and utility. Psychological Science, 1(4).
- Kelly, M.J., Schaan, J.L. & Joncas, H., 2002. Managing alliance relationships: Key challenges in the early stages of collaboration. R&D Management, 32(1).
- Kerlinger, F.N., Lee, H.B., 2000. Foundations of behavioral research. 4th ed. California: Thomson Learning.
- Khanna, T., Gulati, R. & Nohria, N., 1998. The dynamics of learning alliances: Competition, cooperation, and relative scope. Strategic Management Journal, 19(3).
- Knight, L.A., 2000. Learning to collaborate: A study of individual and organisational learning, and interorganisational relationships. Journal of Strategic Marketing, 8.
- Macy, M.W. & Willer, R., 2002. From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28.
- Mitchell, M., Crutchfield, J.P. & Hraber, P.T., 1994. Dynamics, Computation, and the 'Edge Of Chaos': A Re-Examination. In Complexity: Metaphors, Models, and Reality, Santa Fe Institute Studies in the Sciences of Complexity Proceedings.
- Nagpal, R., 1999. Organizing a global coordinate system from local information on an Amorphous Computer. MIT Artificial Intelligence Laboratory. A.I. Memo n. 1666.
- Sawyer, R.K., 2004. Social explanation and computational simulation. Philosophical Explorations, 7(3).
- Schelling, T., 1978. Micromotives and Macrobehaviour. New York, W.N. Norton & Company.
- Sipper, M., 2004. Evolution of parallel cellular machines: The cellular programming approach. Heidelberg, Springer. http://www.cs.bgu.ac.il/sipper/papabs/epcm.pdf.
- Tesfatsion, L., 2005. Agent-based computational economics: A constructive approach to economic theory. Forthcoming in Judd, K.L. Tesfatsion, L. Handbook of Computational Economics. NorthHolland.
- Wolfram, S., 2002. A new kind of science. Canada, Wolfram Media Inc.
Paper Citation
in Harvard Style
A. Zimbres R., P. Z. Brito E. and P. B. de Oliveira P. (2008). CELLULAR AUTOMATA BASED MODELING OF THE FORMATION AND EVOLUTION OF SOCIAL NETWORKS - A Case in Dentistry . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 333-339. DOI: 10.5220/0001712003330339
in Bibtex Style
@conference{iceis08,
author={Rubens A. Zimbres and Eliane P. Z. Brito and Pedro P. B. de Oliveira},
title={CELLULAR AUTOMATA BASED MODELING OF THE FORMATION AND EVOLUTION OF SOCIAL NETWORKS - A Case in Dentistry},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={333-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001712003330339},
isbn={978-989-8111-37-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - CELLULAR AUTOMATA BASED MODELING OF THE FORMATION AND EVOLUTION OF SOCIAL NETWORKS - A Case in Dentistry
SN - 978-989-8111-37-1
AU - A. Zimbres R.
AU - P. Z. Brito E.
AU - P. B. de Oliveira P.
PY - 2008
SP - 333
EP - 339
DO - 10.5220/0001712003330339