VIII.8 The Fundamental Interconnectedness of All Things

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Matthew Richardson

Judith Kamalski

Sarah Huggett

Andrew Plume

What can we learn from animals? Can accidents lead to discoveries? This map invites an interactive exploration of related themes from different disciplinary perspectives. It was created by bibliometrics specialists Matthew Richardson, Judith Kamalski, Sarah Huggett, and Andrew Plume. The colorful map on the right shows how scientific journals cite each other (journal–journal citation matrix) in the Scopus database provided by Elsevier. Each dot represents one of 19,562 journals. Journals are connected if they cite each other. The network was laid out using the Force Atlas 2 algorithm in Gephi 0.8 beta. Journal nodes are colored using a simplified version of the Scopus journal classification system. There is a ‘peninsula’ of math journals, the ‘island’ of dentistry, yet all major areas of research are interconnected. Seven themed stories above the map show what we can learn from animals. Seven stories below the map illustrate the importance of accidents for discovery. All stories together illustrate that any given topic or idea can be addressed from different perspectives by researchers working in diverse fields of research, helping to advance our knowledge on almost any topic.


Richardson, Matthew, Judith Kamalski, Sarah Huggett, and Andrew Plume. 2012. The Fundamental Interconnectedness of All Things. Courtesy of Elsevier Ltd. In “8th Iteration (2012): Science Maps for Kids,” Places & Spaces: Mapping Science, edited by Katy Börner and Michael J. Stamper.

Gephi. 2012. Accessed August 13.

Jacomy, Mathieu, Sebastien Heymann, Tommaso Venturini, and Mathieu Bastian. 2011. “ForceAtlas2, a Graph Layout Algorithm for Handy Network Visualization.” WebAtlas. Last modified August 29.

Richardson, Matthew. 2012. “Citography: The Visualization of Nineteen Thousand Journals through Their Recent Citations.” Research Trends 26 (January).

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.