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Mapping Change In Science

January 28, 2010

How has the structure of scientific research changed over the past decade? A team of researchers from Umeå University, Sweden, and the University of Washington, USA, aims to answer this question and others in a study published on January 27th in the online, open-access journal PLoS ONE.

Using new mathematical tools, the authors have revealed major shifts in the structure of scientific research in order to uncover structural changes in large, interconnected systems. To illustrate the power of their methods, the researchers mapped changes in the field of neuroscience and were able to track how the field evolved from an interdisciplinary specialty to a full fledged scholarly discipline.

“We wanted to map changes in science over the past decade. To do so, we started with more than 35 million citations between the articles in over 7000 scientific journals. This network of citations represents the flow of information between researchers in the world and the results show that significant changes have occurred in the life sciences. Neuroscience has gone from being an interdisciplinary research area to being a scientific discipline in its own right, ranking alongside physics, chemistry, economics, law, molecular biology and medicine,” says Martin Rosvall, Assistant Professor at the Department of Physics, UmeÃ¥ University. This analysis has resulted in some striking images (featured in the article), which elegantly demonstrate the change in the discipline over time.

The key to understanding complex and integrated structures such as the scholarly research literature is to think of them as networks. In a network, the components of the system are represented by nodes, and the interactions between the components consist of links between the nodes.

“People have done a great deal of work on how to find the important features of a network at one specific point in time. But we have not had ways of looking at how these networks change over time,” explains Rosvall.

“Detecting structural changes in large networks is a problem that consists of two parts,” explains Carl Bergstrom, Professor at the Department of Biology, University of Washington. “First, we identify statistically significant changes in the structure of a network, and second, we provide an intuitive way to visualize these changes.” These new tools will be useful in understanding a world permeated with change. As the pre-Socratic philosopher Heraclitus wrote over 2500 years ago: “Everything flows, nothing stands still.”

The researchers believe that these mathematical methods will go beyond analyzing science and will be applied to a number of other problems in fields ranging from biology and medicine to technology and finance.

Funding: This work was supported by the National Institute of General Medical Sciences Models of Infectious Disease Agent Study program cooperative agreement 5U01GM07649. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing Interests: The authors have declared that no competing interests exist.

Citation: Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. doi:10.1371/journal.pone.0008694

Image Caption: This set of scientific fields show the major shifts in the last decade of science. Each significance clustering for the citation networks in years 2001, 2003, 2005 and 2007 occupies a column in the diagram and is horizontally connected to preceding and succeeding significance clusterings by stream fields. Each block in a column represents a field and the height of the block reflects citation flow through the field. The fields are ordered from bottom to top by their size with mutually nonsignificant fields placed together and separated by half the standard spacing. We use a darker color to indicate the significant subset of each cluster. All journals that are clustered in the field of neuroscience in year 2007 are colored to highlight the fusion and formation of neuroscience. Credit: Figure 3 from PLoS ONE doi:10.1371/journal.pone.0008694.g003

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