Search Results - "Singh, Lisa O"
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Exploring community structure in biological networks with random graphs
Published in BMC bioinformatics (25-06-2014)“…Community structure is ubiquitous in biological networks. There has been an increased interest in unraveling the community structure of biological systems as…”
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Social networks reveal cultural behaviour in tool-using using dolphins
Published in Nature communications (01-07-2012)“…Animal tool use is of inherent interest given its relationship to intelligence, innovation and cultural behaviour. Here we investigate whether Shark Bay…”
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A Digital Ethnography of Medical Students who Use Twitter for Professional Development
Published in Journal of general internal medicine : JGIM (01-11-2015)“…ABSTRACT BACKGROUND While researchers have studied negative professional consequences of medical trainee social media use, little is known about how medical…”
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Social networks reveal cultural behaviour in tool-using dolphins
Published in Nature communications (31-07-2012)“…Animal tool use is of inherent interest given its relationship to intelligence, innovation and cultural behaviour. Here we investigate whether Shark Bay…”
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Blogs: Emerging Knowledge Management Tools For Entrepreneurs to Enhance Marketing Efforts
Published in Journal of Internet commerce (04-12-2008)“…One of the more important knowledge management trends today is the growing emergence and power of Weblogs, or "blogs." A recent BusinessWeek cover story…”
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The digital trail of Ukraine’s 2022 refugee exodus
Published in Journal of computational social science (01-10-2024)“…When the 2022 Russian full-scale invasion of Ukraine forced millions of people to leave their homes, officials worldwide scrambled to estimate the number of…”
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Erratum: Social networks reveal cultural behaviour in tool-using dolphins
Published in Nature communications (04-12-2012)“…Nature Communications 3, Article number 1181 (2012); Published 31 July 2012; Updated 4 December 2012. The original version of this Article contained a…”
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Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty
Published 09-11-2022“…Modern statistical learning algorithms are capable of amazing flexibility, but struggle with interpretability. One possible solution is sparsity: making…”
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