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Mapping change in large networks
Department of Biology, University of Washington.
Department of Biology, University of Washington.
2010 (English)In: PLoS ONE, ISSN 1932-6203, Vol. 5, no 1Article in journal (Refereed) Published
Abstract [en]

Change is the very nature of interaction patterns in biology, technology, economy, and science itself: The interactions within and between organisms change; the air, ground, and sea traffic change; the global financial flow changes; and the scientific research front changes. With increasingly available data, networks and clustering tools have become important tools to comprehend instances of these large-scale structures. But blind to the difference between noise and trends in the data, these tools alone must fail when used to study change. Only if we can assign significance to the partition of single networks can we distinguish structural changes from fluctuations and assess how much confidence should we have in the changes. Here we show that bootstrap resampling accompanied by significance clustering provides a solution to this problem. We use the significance clustering to realize de Solla Price's vision of mapping the change in science.

Place, publisher, year, edition, pages
2010. Vol. 5, no 1
Keyword [en]
Networks, mapping, change
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:umu:diva-36655DOI: 10.1371/journal.pone.0008694OAI: oai:DiVA.org:umu-36655DiVA: diva2:355474
Available from: 2010-10-06 Created: 2010-10-06 Last updated: 2011-10-14Bibliographically approved

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Rosvall, Martin

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