Social networks and the process of "globalization"


Dürnecker, Georg ; Vega-Redondo, Fernando


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URL: https://ub-madoc.bib.uni-mannheim.de/32545
URN: urn:nbn:de:bsz:180-madoc-325453
Document Type: Working paper
Year of publication: 2012
The title of a journal, publication series: Working Paper Series
Volume: 12-18
Place of publication: Mannheim
Publication language: English
Institution: School of Law and Economics > VWL, Angewandte Makroökonomik (Juniorprofessur) (Dürnecker 2010-2017)
MADOC publication series: Department of Economics > Working Paper Series
Subject: 330 Economics
Classification: JEL: D83 , D85 , C73 , O17 , O43,
Keywords (English): Social networks , Globalization , Search , Cooperation , Social Cohesion , Innovation
Abstract: We propose a stylised dynamic model to understand the role of social networks in the phenomenon we call "globalization." This term refers to the process by which even agents who are geographically far apart come to interact, thus being able to overcome what would otherwise be a fast saturation of local opportunities. A key feature of our model is that the social network is the main channel through which agents exploit new opportunities. Therefore, only if the social network becomes global (heuristically, it "reaches far in few steps") can global interaction be steadily sustained. To shed light on the conditions under which such a transformation may, or may not, take place is the main objective of the paper. One of the main insights arising from the model is that, in order for the social network to turn global, the economy needs to display a degree of "geographical cohesion" that is neither too high (for then global opportunities simply do not arise) nor too low (then the meeting mechanism displays too little structure for the process to take off). But if globalization does materialize, we show that it is a robust state of affairs that often arises abruptly as key parameters change. This occurs, in particular, as the rate of arrival of ideas rises, or when there is a high enough increase in the range at which the network transmits information.




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