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Higher-order organization of complex networksxiaoran07/15/2016http://science.sciencemag.org/content/353/6295/163
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Causal inference in economics and marketingJaehyuk Park7/22/2016http://www.pnas.org/content/113/27/7310.short
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Information Flows? A Critique of Transfer EntropiesKazutoshi SasaharaJuly 29, 2016http://arxiv.org/abs/1512.06479
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Exposure to ideologicallydiverse news and opinion on FacebookYY08/05/2016http://science.sciencemag.org/content/348/6239/1130
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Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive ratesSol08/12/2016http://www.pnas.org/content/early/2016/06/27/1602413113.full
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Neural Correlates of Interspecies Perspective Taking in
the Post-Mortem Atlantic Salmon: An Argument For
Proper Multiple Comparisons Correction
Sol08/12/2016http://pages.vassar.edu/abigailbaird/files/2014/06/bennett_salmon.pdf
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The physics of spreading processes in multilayer networksAlex Gates09/02/2016http://www.nature.com/nphys/journal/vaop/ncurrent/full/nphys3865.html
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Towards an integration of deep learning and neuroscienceXiaoran09/09/2016http://biorxiv.org/content/early/2016/06/13/058545
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Community Structure in Time-Dependent, Multiscale, and Multiplex NetworksPik-Mai Hui09/23/2016http://www.sciencemag.org/content/328/5980/876.short
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Fundamental limitations of network reconstructionYizhi Jing09/30/2016http://arxiv.org/pdf/1508.03559v1.pdf
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Two's company, three (or more) is a simplex: Algebraic-topological tools for understanding higher-order structure in neural data
Sol Lim10/14/2016http://arxiv.org/abs/1601.01704
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Learning to learn by gradient descent by gradient descentNathaniel Rodriguez10/21/2016https://arxiv.org/pdf/1606.04474v1.pdf
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"Why Should I Trust You?": Explaining the Predictions of Any ClassifierIan Wood10/28/2016
http://www.kdd.org/kdd2016/subtopic/view/why-should-i-trust-you-explaining-the-predictions-of-any-classifier
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Opinion dynamics on interacting networks: media competition and social influenceKazutoshi11/4/2016http://www.nature.com/articles/srep04938
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Block Models and Personalized PageRankAlex Gates11/11/2016http://arxiv.org/abs/1607.03483
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The modular and integrative functional architecture of the human brainNathaniel Rodriguez11/18/2016http://www.pnas.org/content/early/2015/11/18/1510619112.abstract
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Hybrid computing using a neural network with dynamic external memoryYY Ahn12/9/2016http://www.nature.com/nature/journal/vaop/ncurrent/full/nature20101.html
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Rethinking segregation and integration: contributions of whole-brain modellinghttp://www.nature.com/nrn/journal/v16/n7/full/nrn3963.html
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Equivalence between modularity optimization and maximum likelihood methods for community detectionAlex Gates1/20/2017http://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.052315 https://arxiv.org/abs/1606.02319
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Systematic inequality and hierarchy in faculty hiring networksJaehyuk Park1/27/2017http://advances.sciencemag.org/content/advances/1/1/e1400005.full.pdf
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Perspective: Sloppiness and emergent theories in physics, biology, and beyondElise Jing2/3/2017http://scitation.aip.org/content/aip/journal/jcp/143/1/10.1063/1.4923066?
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A solution to the single-question crowd wisdom problem.Kazutoshi2/10/2017http://doi.org/10.1038/nature21054
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The ground truth about metadata and community detection in networks.Zheng Gao2/17/17https://arxiv.org/abs/1608.05878
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A new product growth for model consumer durablesChao Min2/24/2017http://www.jstor.org.proxyiub.uits.iu.edu/stable/2628128?seq=1#page_scan_tab_contents
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Clustering: Science or Art?Ian Wood3/3/2017http://www.jmlr.org/proceedings/papers/v27/luxburg12a/luxburg12a.pdf
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Information leverage in interconnected ecosystems: Overcoming the curse of dimensionalityIan Wood3/10/2017http://science.sciencemag.org/content/353/6302/922
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Dynamics on expanding spaces: modeling the emergence of noveltiesNathaniel Rodriguez3/24/2017https://arxiv.org/pdf/1701.00994v1.pdf
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The reusable holdout: Preserving validity in adaptive data analysisXiaoran 3/31/2017http://science.sciencemag.org/content/349/6248/636
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Semi-Supervised Classification with Graph Convolutional NetworksYY4/7/2017https://arxiv.org/abs/1609.02907
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Tradition and Innovation in Scientists' Research StrategiesZheng Gao4/14/2017http://journals.sagepub.com/doi/abs/10.1177/0003122415601618
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