Difference between revisions of "Network Analysis of Interlocking Directorates/Project Overview"
| Line 27: | Line 27: | ||
<br/> | <br/> | ||
In this study, we used a Singapore sample of companies and directors that contain 50334 listed companies and 82728 directors who hold positions in directors’ boards of these companies. After gathering the sample, we used Gephi, a visual analytics software tool, to visualize the interlocking directorates networks and study the patterns of the interlocking relations. We examined the linkages between the directors and the companies, and also took into accounts the effects of other attributes, such as industry classification and the geographic position of the organizations involved. Key features of our project includes: | In this study, we used a Singapore sample of companies and directors that contain 50334 listed companies and 82728 directors who hold positions in directors’ boards of these companies. After gathering the sample, we used Gephi, a visual analytics software tool, to visualize the interlocking directorates networks and study the patterns of the interlocking relations. We examined the linkages between the directors and the companies, and also took into accounts the effects of other attributes, such as industry classification and the geographic position of the organizations involved. Key features of our project includes: | ||
| − | # | + | #Visualization of the network of interlocking directorates |
| − | # | + | #Analyzing patterns of interlocking directorates network to predict accounting fraud |
| − | # | + | #Using interlocking directorates network to aid Singapore urban development planning |
</font> | </font> | ||
<!--End Body--> | <!--End Body--> | ||
Revision as of 05:51, 24 April 2015
| Home | Project Overview | Findings & Insights | Project Management | Project Documentation | Learning Outcomes |
Our Motivation
Looking at both the advantages and disadvantages of interlocking directorates networks, we were motivated by two ideas:
- a non-financial measured method can be effectively used to assess fraud risk
- second – urban planning may revolve around clustering concept that can be effectively displayed by the visualization of the relations between firms and social capital.
By examining the interlocking directorate network and indicating the importance of a firm or director’s position in the interlocking network, we hope to be able to set focus on the individuals who might possibly have deceptive actions and connections. The executives, who have set up many connections in multiple firms at the same time, are subjected to “potentially” facilitate fraudulent activities among these companies. Because these interlocking executives can control a big deal of information, they can make use of it to gain personal benefit either for themselves or for the companies they are governing. Moreover, as interlocking directorates is a major source of social capital, examining these patterns can contribute to research in urban planning for Singapore.
Project Scope
In this study, we used a Singapore sample of companies and directors that contain 50334 listed companies and 82728 directors who hold positions in directors’ boards of these companies. After gathering the sample, we used Gephi, a visual analytics software tool, to visualize the interlocking directorates networks and study the patterns of the interlocking relations. We examined the linkages between the directors and the companies, and also took into accounts the effects of other attributes, such as industry classification and the geographic position of the organizations involved. Key features of our project includes:
- Visualization of the network of interlocking directorates
- Analyzing patterns of interlocking directorates network to predict accounting fraud
- Using interlocking directorates network to aid Singapore urban development planning
