Co-Authorship Network for Scientific and Technical Papers, Published by at least one WIT Author

What This Is The diagram is a visual representation of collaborations between authors of WIT papers, who are represented by the circles in this image. Any co-authorship relation between two authors is represented by a connecting line. • The colour of a line reflects the number of times that those two authors have worked together. • The colour of a circle reflects the average impact of papers published by that author (average times cited) • The size of a circle is proportional to the number of papers attributed to that author in the data used to generate the diagram. The Data Used The data used, comes from the Web of Knowledge. The Web of Knowledge is an index of all of the citations in 23,000 of the top academic and scientific journals. It should be noted that the data is not comprehensive, as there are many other journals in existence. Also, the index is biased in favour of the hard sciences. Disciplines related to humanities, arts and social sciences are very under-represented in this dataset. The Software Used The software used to generate this diagram is called Gephi. This is an open source graph visualisation tool. The software is developed by a French-based non-profit consortium. It started as a Google ‘Summer of Code’ initiative. The Benefits Analysis of networks using graph theory is a discipline that has come into its own of late, as improvements in technology have made possible the development of new tools, namely graph databases and visualisation software such as Gephi. In the context of research, this kind of analysis can be a powerful tool for strategic planning, capacity building, identifying collaborative opportunities, and for finding efficiencies in large organisations