Abstract
Classification is the key to understand large and complex systems that are made up of many individual parts. For example in the study of food webs (networks that consist of living organisms and predator-prey relationships, flow of protein, etc.) it is, even for moderately small ecosystems, impossible to understand the relationship between each pair of individual organisms. Nevertheless, we can understand the system - to a certain extent - by classifying individuals and describing relationships on the class level. Classification in networks aims to describe regular patterns of interaction and to highlight essential structure, which remains stable over long periods of time.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lerner, J. (2005). Role Assignments. In: Brandes, U., Erlebach, T. (eds) Network Analysis. Lecture Notes in Computer Science, vol 3418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31955-9_9
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DOI: https://doi.org/10.1007/978-3-540-31955-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24979-5
Online ISBN: 978-3-540-31955-9
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