It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
A complex system can be represented and analyzed as a network, where nodes represent the units of the network and edges represent connections between those units. For example, a brain network represents neurons as nodes and axons between neurons as edges. In many networks, some nodes have a disproportionately high number of edges as well as many edges between each other and are referred to as the “rich club”. In many different networks, the nodes of this club are assumed to support global network integration. Here we show that another set of nodes, which have edges diversely distributed across the network, form a “diverse club”. The diverse club exhibits, to a greater extent than the rich club, properties consistent with an integrative network function—these nodes are more highly interconnected and their edges are more critical for efficient global integration. Finally, these two clubs potentially evolved via distinct selection pressures.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Helen Wills Neuroscience Institute and Department of Psychology, University of California Berkeley, Berkeley, CA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
2 Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore; Clinical Imaging Research Centre, National University of Singapore, Singapore, Singapore; Singapore Institute for Neurotechnology, National University of Singapore, Singapore, Singapore; Memory Networks Programme, National University of Singapore, Singapore, Singapore
3 Helen Wills Neuroscience Institute and Department of Psychology, University of California Berkeley, Berkeley, CA, USA