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Social Network Measures for Nosduocentered Networks, their Predictive Power on Performance


  • Coromina, Lluís


  • Guia, Jaume
  • Coenders, Germà


Our purpose in this article is to define a network structure which is based on two egos instead of the egocentered (one ego) or the complete network (n egos). We describe the characteristics and properties for this kind of network which we call “nosduocentered network”, comparing it with complete and egocentered networks. The key point for this kind of network is that relations exist between the two main egos and all alters, but relations among others are not observed. After that, we use new social network measures adapted to the nosduocentered network, some of which are based on measures for complete networks such as degree, betweenness, closeness centrality or density, while some others are tailor-made for nosduocentered networks. We specify three regression models to predict research performance of PhD students based on these social network measures for different networks such as advice, collaboration, emotional support and trust. Data used are from Slovenian PhD students and their supervisors. The results show that performance for PhD students depends mostly of the emotional network, because it is significant for all three models. Trust and collaboration networks are significant for two models and advice is not significant for any model. As regards network measures, classic and tailor-made measures are about equally good. Measures related to the total intensity of contacts (e.g., density, degree centralization and size) seem to work best to predict performance.

Suggested Citation

  • Coromina, Lluís & Guia, Jaume & Coenders, Germà, 2005. "Social Network Measures for Nosduocentered Networks, their Predictive Power on Performance," Working Papers of the Department of Economics, University of Girona 13, Department of Economics, University of Girona.
  • Handle: RePEc:udg:wpeudg:013

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    References listed on IDEAS

    1. Cremer, Helmuth & Marchand, Maurice & Thisse, Jacques-Francois, 1991. "Mixed oligopoly with differentiated products," International Journal of Industrial Organization, Elsevier, vol. 9(1), pages 43-53, March.
    2. Fernandez, R., 1998. "Education and Borrowing Constraints: Tests vs Prices," Working Papers 98-17, C.V. Starr Center for Applied Economics, New York University.
    3. Robert J. Gary-Bobo & Alain Trannoy, 2005. "Efficient Tuition & Fees, Examinations, and Subsidies," IDEP Working Papers 0501, Institut d'economie publique (IDEP), Marseille, France, revised 01 Mar 2005.
    4. Romero, Laura & Rey, Elena del, 2004. "Competition between public and private universities: quality, prices and exams," UC3M Working papers. Economics we046423, Universidad Carlos III de Madrid. Departamento de Economía.
    5. de Fraja, Giovanni & Delbono, Flavio, 1990. " Game Theoretic Models of Mixed Oligopoly," Journal of Economic Surveys, Wiley Blackwell, vol. 4(1), pages 1-17.
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    More about this item


    nosduocentered network; academic achievement; performance; network measures;

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • I29 - Health, Education, and Welfare - - Education - - - Other

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