Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-19T02:14:05.733Z Has data issue: false hasContentIssue false

Chapter 20 - Differential Impact of Directors’ Social and Financial Capital on Corporate Interlock Formation

Published online by Cambridge University Press:  05 April 2013

Dean Lusher
Affiliation:
Swinburne University of Technology, Victoria
Johan Koskinen
Affiliation:
University of Manchester
Garry Robins
Affiliation:
University of Melbourne
Get access

Summary

Bipartite Society: The Individual and the Group

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).

Type
Chapter
Information
Exponential Random Graph Models for Social Networks
Theory, Methods, and Applications
, pp. 260 - 271
Publisher: Cambridge University Press
Print publication year: 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×