Copper mineral ecology and network analysis through deep time

Author
Morrison, S.M.; Eleish, Ahmed; Liu, C.; Prabhu, Anirudh; Zhong, H.; Fox, Peter; Golden, J.J.; Ralph, J.; Downs, R.T.; Hystad, G.; Meyer, H.; Hummer, D.R.; Hazen, Robert
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2017
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Attribution-NonCommercial-NoDerivs 3.0 United States
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Morrison SM, Eleish A, Liu C, Prabhu A, Zhong H, Fox P, Golden JJ, Ralph J, Downs RT, Hystad G, Meyer M, Hummer DR, and Hazen RM (2017) Copper mineral ecology and network analysis through deep time, Third DCO International Science Meeting, Abstract #S-28
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https://deepcarbon.net/sites/dco.rpi.edu/files/third_dco_international_science_meeting_abstractsv3.pdf; https://hdl.handle.net/20.500.13015/6544
Abstract
Network analysis techniques (Kolaczyk, 2009; Newman, 2013) have been applied to the evaluation, characterization, and visualization of many complex, multidimensional systems, including biology Costanzo, 2016), sociology (Abraham, 2010), technology (Pagani and Aiello, 2013), and, recently, mineral ecology (Liu et al., 2017; Morrison et al., 2017). In this study, we utilize network analysis statistical and visualization techniques to further examine the chemical, geological, and temporal trends in Cu mineral occurrence on Earth’s surface.;
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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States