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Ron Milo,Shalev Itzkovitz,Nadav Kashtan,Reuven Levitt,Shai Shen-Orr,Inbal Ayzenshtat,Michal Sheffer,Uri Alon*
Complex biological, technological, and sociological networkscan be of very different sizes and connectivities, making itdifficult to compare their structures. Here we present an approachto systematically study similarity in the local structure ofnetworks, based on the significance profile (SP) of small subgraphsin the network compared to randomized networks. We find severalsuperfamilies of previously unrelated networks with very similarSPs. One superfamily, including transcription networks of microorganisms,represents "rate-limited" information-processing networks stronglyconstrained by the response time of their components. A distinctsuperfamily includes protein signaling, developmental geneticnetworks, and neuronal wiring. Additional superfamilies includepower grids, protein-structure networks and geometric networks,World Wide Web links and social networks, and word-adjacencynetworks from different languages.
Departments of Molecular Cell Biology, Physics of Complex Systems, and Computer Science, Weizmann Institute of Science, Rehovot 76100, Israel.
* To whom correspondence should be addressed at Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel. E-mail: urialon{at}weizmann.ac.il
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