Proceedings of the 55th Annual Meeting of the ISSS - 2011, Hull, UK, Proceedings of the 55th Annual Meeting of the ISSS

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USING COMPLEX NETWORK ANALYSIS AND VISUALISATION TO ANALYSE PROBLEMATIC ENTERPRISE SCALE INFORMATION SYSTEMS?

David Greenwood, Ian Sommerville

Abstract


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Society is demanding larger and more complex information systems to support increasingly complex and critical organisational work. During or after the deployment of these systems it is typical for problematic socio-technical issues to arise. Whilst troubleshooting socio-technical issues in small-to-medium scale situations may be achievable using approaches such as rapid ethnography combined with a theoretical framework such as distributed cognition or activity theory; troubleshooting enterprise scale situations is an open research question because of the overwhelming number of socio-technical elements and interactions involved.

Techniques and tools for complex network analysis enable the analysis of systems comprising large numbers of nodes. These tools are becoming increasingly accessible to non-computer scientists and mathematicians and so have been used to analyse a diverse variety of large-scale systems from social networks through to metabolic pathways in living organisms. We believe there is scope to use similar techniques to facilitate the analysis of problematic enterprise scale socio-technical systems.

This paper demonstrates, via means of a case study, proof-of-concept tools for large-scale network analysis and visualisation that may provide a promising avenue for identifying problematic elements and interactions amongst an overwhelming number of socio- technical elements. We demonstrate the potential of this approach by showing that: i) a problematic situation may be represented as a directed graph such that the elements in the situation are represented as nodes, and interactions between nodes as edges; ii) that eigenvector centrality may be used to rank the importance of elements in a situation and that highly ranked elements match those identified as important by a human analyst; iii) the ‘complexity’ of a situation, or a part of a situation, may be characterised using a feedback degree score which provides an indication of the extent elements are highly interconnected and involved in feedback loops. These findings indicate that computers may be used to aid the analysis of problematic large-scale complex socio-technical situations by highlighting elements, or groups of interacting elements, that are important to the overall outcome of a problematic situation.

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