In this paper we present a random graph model to explain the network structure of boards of directors. We investigate the conditions under which corporate boards can be said to be a “small-world”. Our empirical results show that the random graph model is remarkably good at explaining board structure and connectedness in the United States, the United Kingdom and Germany. Although there are small-world traits such as “clustering” and “short-paths ” in the corporate world, they are no more pronounced than would be expected by chance in a statistically similar, but randomly assembled corporate universe. Finally, our results show the existence of positive degree correlation: directors who sit on many boards do so in the company of other director...
In this paper we analyse the networks created from directors sitting on the boards of companies in S...
This paper provides empirical evidence consistent with the facts that (1) social networks may strong...
to appear in Advances in Complex Systems, accepted on 27 Nov 2003Boards of large corporations sharin...
In this paper we present a random graph model to explain the network structure of boards of director...
In this paper we present a random graph model to explain the network structure of boards of director...
We demonstrate the importance of graph theory for understanding boards of directors. Specifically, w...
The boards of directors of the largest corporations of a country together with the directors form a ...
The standard approach used to model interlocks in the business and management literature is to treat...
We consider the current bipartite graph of German corporate boards and identify a small core of dire...
In this work we apply network theory to detect in a quantitative fashion some of the characters of t...
In this paper we investigate the ownership and control of British firms using recent techniques from...
The boards of large corporations sharing some of their directors are connected in complex networks. ...
In this work we apply network theory to detect in a quantitative fashion some of the characters of t...
We study the networks formed by the directors of the most important Swiss boards and the boards them...
AbstractThis paper investigates the corporate board and director networks in the Polish capital mark...
In this paper we analyse the networks created from directors sitting on the boards of companies in S...
This paper provides empirical evidence consistent with the facts that (1) social networks may strong...
to appear in Advances in Complex Systems, accepted on 27 Nov 2003Boards of large corporations sharin...
In this paper we present a random graph model to explain the network structure of boards of director...
In this paper we present a random graph model to explain the network structure of boards of director...
We demonstrate the importance of graph theory for understanding boards of directors. Specifically, w...
The boards of directors of the largest corporations of a country together with the directors form a ...
The standard approach used to model interlocks in the business and management literature is to treat...
We consider the current bipartite graph of German corporate boards and identify a small core of dire...
In this work we apply network theory to detect in a quantitative fashion some of the characters of t...
In this paper we investigate the ownership and control of British firms using recent techniques from...
The boards of large corporations sharing some of their directors are connected in complex networks. ...
In this work we apply network theory to detect in a quantitative fashion some of the characters of t...
We study the networks formed by the directors of the most important Swiss boards and the boards them...
AbstractThis paper investigates the corporate board and director networks in the Polish capital mark...
In this paper we analyse the networks created from directors sitting on the boards of companies in S...
This paper provides empirical evidence consistent with the facts that (1) social networks may strong...
to appear in Advances in Complex Systems, accepted on 27 Nov 2003Boards of large corporations sharin...