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

Roger Th.A.J. Leenders
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Roger Th.A.J. Leenders: Groningen University

No 02B09, Research Report from University of Groningen, Research Institute SOM (Systems, Organisations and Management)

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.

Date: 2002
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