TY - CHAP
T1 - Differential impact of directors' social and financial capital on corporate interlock formation
AU - Harrigan, Nicholas
AU - Bond, Matthew
PY - 2013
Y1 - 2013
N2 - The interdependence of the individual and the organization is an enduring theme in sociological thought. Cooley wrote that “man may be regarded as the point of intersection of an indefinite number of circles representing social groups, having as many arcs passing through him as there are groups” (1902/1964, 148). Simmel (1955) captured the tension between the individual and the organization when he defined two types of group affiliation: “organic membership,” where the organization is not chosen by the individual as an expression of his or her traits (e.g., as in the case of the family), and “rational membership,” where the organization is chosen as a conscious expression of the individual's traits. For Simmel, the most important outcome of an individual's affiliation to an organization was the constraint and socialization of the individual; an individual, he laments, “is determined sociologically in the sense that groups ‘intersect’ in his person by virtue of his affiliations with them” (150). Social network analysis has developed a distinctive and highly systematic set of methods for representation, measurement, and (more recently) modeling of this interdependence called, variously, “membership networks,” “affiliation networks,” “bipartite networks,” and “two-mode networks” (Breiger, 1974; Robins & Alexander, 2004; Wang, Sharpe, Robins, & Pattison, 2009). The advantage of bipartite networks is that they preserve the dualistic structure of organization–individual relations, representing the network as ties between a set of individuals and a set of organizations. They avoid simplifying the relationships into the one-mode form of either a network of individuals or a network of organizations (see Chapter 10, Section 10.2, for more on bipartite networks).
AB - The interdependence of the individual and the organization is an enduring theme in sociological thought. Cooley wrote that “man may be regarded as the point of intersection of an indefinite number of circles representing social groups, having as many arcs passing through him as there are groups” (1902/1964, 148). Simmel (1955) captured the tension between the individual and the organization when he defined two types of group affiliation: “organic membership,” where the organization is not chosen by the individual as an expression of his or her traits (e.g., as in the case of the family), and “rational membership,” where the organization is chosen as a conscious expression of the individual's traits. For Simmel, the most important outcome of an individual's affiliation to an organization was the constraint and socialization of the individual; an individual, he laments, “is determined sociologically in the sense that groups ‘intersect’ in his person by virtue of his affiliations with them” (150). Social network analysis has developed a distinctive and highly systematic set of methods for representation, measurement, and (more recently) modeling of this interdependence called, variously, “membership networks,” “affiliation networks,” “bipartite networks,” and “two-mode networks” (Breiger, 1974; Robins & Alexander, 2004; Wang, Sharpe, Robins, & Pattison, 2009). The advantage of bipartite networks is that they preserve the dualistic structure of organization–individual relations, representing the network as ties between a set of individuals and a set of organizations. They avoid simplifying the relationships into the one-mode form of either a network of individuals or a network of organizations (see Chapter 10, Section 10.2, for more on bipartite networks).
U2 - 10.1017/CBO9780511894701.023
DO - 10.1017/CBO9780511894701.023
M3 - Chapter
SN - 9780521193566
SN - 9780521141383
T3 - Structural Analysis in the Social Sciences
SP - 260
EP - 271
BT - Exponential random graph models for social networks
A2 - Lusher, Dean
A2 - Koskinen, Johan
A2 - Robins, Garry
PB - Cambridge University Press (CUP)
CY - New York, USA
ER -