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Multilevel social spaces: The network dynamics of organizational fields

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  • HOLLWAY, JAMES
  • LOMI, ALESSANDRO
  • PALLOTTI, FRANCESCA
  • STADTFELD, CHRISTOPH

Abstract

In this paper, we seek to advance an updated concept of social space that integrates the multilayer and dynamic statistical network methods currently at the disposal of social network researchers. We demonstrate the analytic value of the new concept of social space that we propose with the help of an illustrative analysis of an organizational field involving organizations' external and internal decisions that congeal into a multilevel system of action that shapes the space of possibilities for other participants in the field. Through these internal and external decisions, organizations seek certain positions in their social space while simultaneously modifying that social space over time. We conclude by arguing that network researchers' choices of goodness-of-fit statistics should reflect a consideration about the dimensions of social space of most interest to the nodes involved.

Suggested Citation

  • Hollway, James & Lomi, Alessandro & Pallotti, Francesca & Stadtfeld, Christoph, 2017. "Multilevel social spaces: The network dynamics of organizational fields," Network Science, Cambridge University Press, vol. 5(2), pages 187-212, June.
    • Handle: RePEc:cup:netsci:v:5:y:2017:i:02:p:187-212_00
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    Cited by:

    1. Jose N. Uribe, 2020. "Multipoint contact without forbearance? How coverage synergies shape equity analysts' forecasting performance," Strategic Management Journal, Wiley Blackwell, vol. 41(10), pages 1901-1932, October.
    2. Tom A.B. Snijders & Malick Faye & Julien Brailly, 2020. "Network dynamics with a nested node set: Sociability in seven villages in Senegal," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 300-323, August.

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