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Complexity Digest 2011.23 - 06
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2011/11/25

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Editor-in-Chief: Carlos Gershenson
Founding Editor: Gottfried Mayer

Discovering Network Structure Beyond Communities, Scientific Reports
 









Abstract: To understand the formation, evolution, and function of complex
systems, it is crucial to understand the internal organization of their
interaction networks. Partly due to the impossibility of visualizing large
complex networks, resolving network structure remains a challenging problem.
Here we overcome this difficulty by combining the visual pattern recognition
ability of humans with the high processing speed of computers to develop an
exploratory method for discovering groups of nodes characterized by common
network properties, including but not limited to communities of densely
connected nodes. Without any prior information about the nature of the groups,
the method simultaneously identifies the number of groups, the group assignment,
and the properties that define these groups. The results of applying our method
to real networks suggest the possibility that most group structures lurk
undiscovered in the fast-growing inventory of social, biological, and
technological networks of scientific interest.
Source: Discovering Network Structure Beyond Communities[
http://dx.doi.org/10.1038/srep00151 ], Takashi Nishikawa	 & Adilson E. Motter,
DOI: 10.1038/srep00151, Scientific Reports 1, Article number: 151, 2011/11/09

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