PMID: 11909165Mar 23, 2002Paper

Relation between structure and size in social networks

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Luis López, Miguel A F Sanjuán

Abstract

In the context of complex network systems, we model social networks with the property that there is certain degradation of the information flowing through the network. We analyze different kinds of networks, from regular lattices to random graphs. We define an average coordination degree for the network, which can be associated with a certain notion of efficiency. Assuming that there is a limit to the information a person may handle, we show that there exists a close relationship between the structure of the network and its maximum size.

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Citations

Nov 13, 2007·Neurophysiologie clinique = Clinical neurophysiology·S Fall, G de Marco
Jul 12, 2014·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Ruiyang GeZhiying Long
Apr 12, 2016·Journal of Alzheimer's Disease : JAD·Yafeng ZhanUNKNOWN Alzheimer’s Disease Neuroimaging Initiative
Aug 30, 2016·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Jiu ChenZhijun Zhang
Jan 10, 2014·Clinical EEG and Neuroscience·Daniele MarinazzoSteven Laureys
Apr 15, 2004·Human Brain Mapping·Tianzi JiangXuchu Weng
May 23, 2006·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·E AgliariF M Neri

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