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The specification of weight structures in network autocorrelation models of social influence

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  • Leenders, Roger Th.A.J.

    (Groningen University)

Abstract

Many physical and social phenomena are embedded within networks of interdependencies, the so-called 'context' of these phenomena. In network analysis, this type of process is typically modeled as a network autocorrelation model. Parameter estimates and inferences based on autocorrelation models, hinge upon the chosen specification of weight matrix , the elements of which represent the influence pattern present in the network In this paper I discuss how social influence processes can be incorporated in the specification of . Theories of social influence center around 'communication' and 'comparison'; it is discussed how these can be operationalized in a network analysis context. Starting from that, a series of operationalizations of W is discussed. finally, statistical tests are presented that allow an analyst to test various specifications against one another or pick the best fitting model from a set of models.

Suggested Citation

  • Leenders, Roger Th.A.J., 2002. "The specification of weight structures in network autocorrelation models of social influence," Research Report 02B09, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    • Handle: RePEc:gro:rugsom:02b09
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    File URL: http://irs.ub.rug.nl/ppn/238280527
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    References listed on IDEAS

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    1. J Mur, 1999. "Testing for Spatial Autocorrelation: Moving Average versus Autoregressive Processes," Environment and Planning A, , vol. 31(8), pages 1371-1382, August.
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    Cited by:

    1. Tao Cheng & James Haworth & Jiaqiu Wang, 2012. "Spatio-temporal autocorrelation of road network data," Journal of Geographical Systems, Springer, vol. 14(4), pages 389-413, October.

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