Advanced

Modelling the evolution of a bipartite network - Peer referral in interlocking directorates

Koskinen, J and Edling, Christofer LU (2012) In Social Networks 34(3). p.309-322
Abstract (Swedish)
Abstract in Undetermined

A central part of relational ties between social actors is constituted by shared affiliations and events. The action of joint participation reinforces personal ties between social actors as well as mutually shared values and norms that in turn perpetuate the patterns of social action that define groups. Therefore the study of bipartitenetworks is central to social science. Furthermore, the dynamics of these processes suggests that bipartitenetworks should not be considered static structures but rather be studied over time. In order to model the evolution of bipartitenetworks empirically we introduce a class of models and a Bayesian inference scheme that extends previous stochastic actor-oriented... (More)
Abstract in Undetermined

A central part of relational ties between social actors is constituted by shared affiliations and events. The action of joint participation reinforces personal ties between social actors as well as mutually shared values and norms that in turn perpetuate the patterns of social action that define groups. Therefore the study of bipartitenetworks is central to social science. Furthermore, the dynamics of these processes suggests that bipartitenetworks should not be considered static structures but rather be studied over time. In order to model the evolution of bipartitenetworks empirically we introduce a class of models and a Bayesian inference scheme that extends previous stochastic actor-oriented models for unimodal graphs. Contemporary research on interlockingdirectorates provides an area of research in which it seems reasonable to apply the model. Specifically, we address the question of how tie formation, i.e. director recruitment, contributes to the structural properties of the interlockingdirectoratenetwork. For boards of directors on the Stockholm stock exchange we propose that a prolific mechanism in tie formation is that of peerreferral. The results indicate that such a mechanism is present, generating multiple interlocks between boards. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
sociologi, sociology
in
Social Networks
volume
34
issue
3
pages
309 - 322
publisher
Elsevier
external identifiers
  • Scopus:84861339055
ISSN
0378-8733
language
English
LU publication?
yes
id
7b81925a-7cbd-438f-8f25-b21e15ba0419 (old id 2301260)
date added to LUP
2012-01-25 09:00:54
date last changed
2016-10-30 04:33:52
@misc{7b81925a-7cbd-438f-8f25-b21e15ba0419,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
A central part of relational ties between social actors is constituted by shared affiliations and events. The action of joint participation reinforces personal ties between social actors as well as mutually shared values and norms that in turn perpetuate the patterns of social action that define groups. Therefore the study of bipartitenetworks is central to social science. Furthermore, the dynamics of these processes suggests that bipartitenetworks should not be considered static structures but rather be studied over time. In order to model the evolution of bipartitenetworks empirically we introduce a class of models and a Bayesian inference scheme that extends previous stochastic actor-oriented models for unimodal graphs. Contemporary research on interlockingdirectorates provides an area of research in which it seems reasonable to apply the model. Specifically, we address the question of how tie formation, i.e. director recruitment, contributes to the structural properties of the interlockingdirectoratenetwork. For boards of directors on the Stockholm stock exchange we propose that a prolific mechanism in tie formation is that of peerreferral. The results indicate that such a mechanism is present, generating multiple interlocks between boards.},
  author       = {Koskinen, J and Edling, Christofer},
  issn         = {0378-8733},
  keyword      = {sociologi,sociology},
  language     = {eng},
  number       = {3},
  pages        = {309--322},
  publisher    = {ARRAY(0x90629e8)},
  series       = {Social Networks},
  title        = {Modelling the evolution of a bipartite network - Peer referral in interlocking directorates},
  volume       = {34},
  year         = {2012},
}