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Core/periphery scientific collaboration networks among very similar researchers

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Abstract

Empirical studies such as Goyal et al. (J Polit Econ 114(2):403–412, 2006) or Newman (Proc Natl Acad Sci USA 101(Suppl. 1):5200–5205, 2004) show that scientific collaboration networks present a highly unequal and hierarchical distribution of links. This implies that some researchers can be much more active and productive than others and, consequently, they can enjoy a much better scientific reputation. One may think that big intrinsical differences among researchers can constitute the main driving force behind these inequalities. Nevertheless, this model shows that, under specific circumstances, very similar individuals may self-organize themselves forming unequal and hierarchical structures.

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References

  • Albert R., Barabási A. L. (1999) Emergence of scaling in random networks. Science 286(5439): 509–512

    Article  Google Scholar 

  • Albert R., Barabási A. L. (2002) Statistical mechanics of complex networks. American Physical Society 74(1): 47–97

    Google Scholar 

  • Arenas, A., Cabrales, A., Danon, L., Díaz-Aguilera, A., Guimerà, R., & Vega-Redondo, F. (2003). Optimal information transmission in organizations: Search and congestion. Working paper Universitat Pompeu Fabra, 698.

  • Bala V., Goyal S. (2000) A noncooperative model of network formation. Econometrical 68(5): 1181–1219

    Article  Google Scholar 

  • Barabási A. L., Jeong H., Néda Z., Ravasz E., Schubert A., Vicsek T. (2002) Evolution of the social network of scientific collaborations. Physica A 311: 590–614

    Article  Google Scholar 

  • Borgatti, S. P. (2005). Facilitating knowledge flows. http://www.socialnetworkanalysis.com/knowledge_sharing.htm. Accessed June 2011.

  • Borgatti S. P., Everett M. G. (1999) Models of core/periphery structures. Social Networks 21: 375–395

    Article  Google Scholar 

  • Calvó-Armengol A., Jackson M. O. (2004) The effects of social networks on employment and inequality. American Economic Review 94(3): 426–454

    Article  Google Scholar 

  • Cooper C., Frieze A. (2003) A general model of web graphs. Random Structures and Algorithms 22(3): 311–335

    Article  Google Scholar 

  • Cross R., Parker A., Prusak L., Borgatti S. P. (2001) Knowing What We Know: Supporting knowledge creation and sharing in social networks. Organizational Dynamics 30(2): 110–120

    Article  Google Scholar 

  • Ellison G. (2002) Evolving standards for academic publishing: A q-r theory. Journal of Political Economy 110(5): 994–1034

    Article  Google Scholar 

  • Goyal S., van der Leij M., Moraga-González J. L. (2006) Economics: An emerging small world. Journal of Political Economy 114(2): 403–412

    Article  Google Scholar 

  • Goyal S., Vega-Redondo F. (2007) Structural holes in social networks. Journal of Economic Theory 137: 460–492

    Article  Google Scholar 

  • Hudson J. (1996) Trends in multi-authored papers in Economics. Journal of Economic Perspectives 10(3): 153–158

    Article  Google Scholar 

  • Jackson M. O., Wolinsky A. (1996) A strategic model of economic and social networks. Journal of Economic Theory 71(1): 44–74

    Article  Google Scholar 

  • Jackson, M. O. (2004). A survey of models of network formation: Stability and efficiency. In Group formation in economics: Networks, clubs and coalitions. Cambridge: Cambridge Universtity Press.

  • Jackson M. O., Rogers B. W. (2007) Meeting strangers and friends of friends: How random are social networks?. American Economic Review 97(3): 890–915

    Article  Google Scholar 

  • Kranton R. E., Minehart D. (2001) A theory of buyer–seller networks. American Economic Revview 91(3): 485–508

    Article  Google Scholar 

  • Laband D. N., Tollison R. D. (2000) Intelectual collaboration. Journal of Political Economy 108(3): 632–662

    Article  Google Scholar 

  • McBride M. (2006) Imperfect monitoring in communication networks. Journal of Economic Theory 126: 97–119

    Article  Google Scholar 

  • Milgram S. (1967) The small world problem. Psycology Today 2: 60–67

    Google Scholar 

  • Mullins N. C., Hargens L. L., Hecht P. K., Kick E. L. (1977) The group structure of cocitation clusters: A comparative study. American Sociological Review 42(4): 552–562

    Article  Google Scholar 

  • Newman M.E.J. (2001a) Scientific collaboration networks I: Network construction and fundamental results. Physical Review E 64: 016131

    Article  Google Scholar 

  • Newman M.E.J. (2001b) Scientific collaboration networks II: Shortest paths, weighted networks, and centrality. Physical Review E 64: 016132

    Article  Google Scholar 

  • Newman M. E. J. (2003) The structure and function of complex networks. SIAM Review 45(2): 167–256

    Article  Google Scholar 

  • Newman M. E. J. (2004) Co-authorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences of United States of America 101(Suppl. 1): 5200–5205

    Article  Google Scholar 

  • Price D. J. d. S. (1976) A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science 27: 292–306

    Article  Google Scholar 

  • Van der Leij, M. (2006). The Economics of Networks: Theory and Empirics. Ph.D. thesis, Tinbergen Institute, Erasmus University, Rotterdam.

  • Watts D. (1999) Small worlds. Princeton Universtity Press, Princeton

    Google Scholar 

Download references

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Correspondence to Antoni Rubí-Barceló.

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Rubí-Barceló, A. Core/periphery scientific collaboration networks among very similar researchers. Theory Decis 72, 463–483 (2012). https://doi.org/10.1007/s11238-011-9252-9

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