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TitleLinkAdded byWilling to lead? (Yes/No)Leader Year# votesCommentsDate publishedDate added
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Mixed Membership Stochastic Blockmodelshttp://www.jmlr.org/papers/volume9/airoldi08a/airoldi08a.pdf2008
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Community Structure in Time-Dependent, Multiscale, and Multiplex Networkshttp://www.sciencemag.org/content/328/5980/876.short2010
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Novelty Search and the Problem with Objectiveshttps://link.springer.com/chapter/10.1007/978-1-4614-1770-5_32011
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Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networkshttp://pubsonline.informs.org/doi/abs/10.1287/mnsc.1110.14212011
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Studying how the past is remembered: towards computational history through large scale text mininghttps://dl.acm.org/citation.cfm?id=20637552011
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Identifying Influential and Susceptible Members of Social Networkshttp://science.sciencemag.org/content/337/6092/3372012
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The statistical physics of self-replicationhttps://arxiv.org/abs/1209.11792012
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Attention during natural vision warps semantic representation across the human brainhttp://www.nature.com/neuro/journal/v16/n6/full/nn.3381.html 2013
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Griffiths phases and the stretching of criticality in brain networkshttp://www.nature.com/ncomms/2013/131003/ncomms3521/full/ncomms3521.html2013
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Shadow networks: Discovering hidden nodes with models of information flowhttp://bagrow.com/pdf/shadowNetworks_bagrowEtAl.pdf 2013
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A Tensor Approach to Learning Mixed Membership Community Modelshttps://arxiv.org/abs/1302.26842013
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Quantifying causal emergence shows that macro can beat microhttps://www.pnas.org/content/110/49/19790.shortThomas Varley2013
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Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learninghttp://science.sciencemag.org/content/344/6182/3862014
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Insiders, Outsiders, and the Struggle for Consecration in Cultural Fields A Core-Periphery Perspectivehttp://asr.sagepub.com/content/early/2014/02/27/0003122414520960.abstract2014
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Frustrated hierarchical synchronization and emergent complexity in the human connectome networkhttp://www.nature.com/articles/srep059902014
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Cluster synchronization and isolated desynchronization in complex networks with symmetries
http://www.nature.com/ncomms/2014/140613/ncomms5079/abs/ncomms5079.html
2014
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Representation Learning: A Review and New Perspectiveshttps://arxiv.org/abs/1206.55382014
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Community detection in networks with unequal groupshttp://arxiv.org/pdf/1509.00107.pdf2015
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Networkcontrology http://scitation.aip.org/content/aip/journal/chaos/25/9/10.1063/1.49315702015
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Global Diffusion via Cascading Invitations Structure, Growth, and Homophilyhttps://dl.acm.org/citation.cfm?id=27416722015
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Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st centuryhttp://www.pnas.org/content/early/2015/10/29/1518393112.short2015
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Enhanced detectability of community structure in multilayer networks through layer aggregationhttp://arxiv.org/pdf/1511.05271v1.pdf2015
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Information Cascades in Feed-based Networks of Users with Limited Attentionhttp://arxiv.org/abs/1508.069502015
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Quantifying randomness in real networkshttp://www.nature.com/ncomms/2015/151020/ncomms9627/full/ncomms9627.html20151
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Quantifying the impact of weak, strong, and super ties in scientific careershttp://www.pnas.org/content/112/34/E4671.abstract2015
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Human behavior under economic inequality shapes inequalityhttp://www.pnas.org/content/early/2015/12/15/1522090112.short 2015
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Inequality and visibility of wealth in experimental social networkshttp://www.nature.com/nature/journal/vaop/ncurrent/full/nature15392.html2015
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Social Identity Threat Motivates Science-Discrediting Online Commentshttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.01174762015
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkshttps://arxiv.org/abs/1511.064342015
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Choosing experiments to accelerate collective discoveryhttp://www.pnas.org/content/112/47/14569.abstract2015
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Influence in Classification via Cooperative Game Theoryhttp://arxiv.org/abs/1505.000362015
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Information measures and cognitive limits in multilayer navigationhttp://arxiv.org/abs/1506.01978?utm_source=Complexity+Digest&utm_campaign=411a0d56d6-RSS_EMAIL_CAMPAIGN&utm_medium=email&utm_term=0_f55ea67de1-411a0d56d6-672107252015
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Networkcontrology http://scitation.aip.org/content/aip/journal/chaos/25/9/10.1063/1.49315702015
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The reusable holdout: Preserving validity in adaptive data analysishttp://science.sciencemag.org/content/349/6248/6362015
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Optimal information diffusion in stochastic block modelshttp://journals.aps.org/pre/pdf/10.1103/PhysRevE.94.0323102016
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Cooperation, competition and the emergence of criticality in communities of adaptive systemshttp://iopscience.iop.org/article/10.1088/1742-5468/2016/03/033203/pdf2016
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Peer review and competition in the Art Exhibition Gamehttp://www.pnas.org/content/early/2016/07/05/1603723113.full2016
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Purity Homophily in Social Networkshttp://www-bcf.usc.edu/~jessegra/papers/DehghaniMainArticle-Revision2-final.pdf2016
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Growing Graphs from Hyperedge Replacement Graph Grammarshttps://arxiv.org/pdf/1608.03192v1.pdf2016
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Network science on belief system dynamics under logic constraintshttp://science.sciencemag.org/content/354/6310/3212016
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Robust Unsupervised Feature Selection on Networked Datahttp://www.public.asu.edu/~jundongl/paper/SDM16_NetFS.pdf2016
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Multilayer Stochastic Block Models Reveal the Multilayer Structure of Complex Networkshttps://journals.aps.org/prx/pdf/10.1103/PhysRevX.6.0110362016
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Statistical Physics of Adaptationhttp://journals.aps.org/prx/pdf/10.1103/PhysRevX.6.0210362016
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Multi-scale brain networkshttp://arxiv.org/abs/1608.088282016
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Overcoming catastrophic forgetting in neural networkshttp://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf?sid=caabe354-55eb-4ea8-9500-a893aef836d72016
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Tracking the Teletherms: The spatiotemporal dynamics of the hottest and coldest days of the yearhttp://arxiv.org/abs/1508.059382016
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Visual Genome- Connecting Language and Vision Using Crowdsourced Dense Image Annotationshttps://visualgenome.org/static/paper/Visual_Genome.pdf2016
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Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clusteringhttps://arxiv.org/abs/1610.029182016
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When the map is better than the territoryhttps://arxiv.org/abs/1612.09592Thomas Varley20161
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Exercise contagion in a global social networkhttps://www.nature.com/articles/ncomms147532017
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Emergence of communities and diversity in social networkshttp://www.pnas.org/content/114/11/2887.full.pdf?sid=5cf5ddba-21ea-4776-a4e8-dcc261d8284b2017
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Modelling sequences and temporal networks with dynamic community structureshttps://www.nature.com/articles/s41467-017-00148-92017
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Stochastic Thermodynamics of Learninghttps://journals.aps.org/prl/pdf/10.1103/PhysRevLett.118.0106012017
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The nearly universal link between the age of past knowledge and tomorrow’s breakthroughs in science and technology: The hotspothttp://advances.sciencemag.org/content/3/4/e1601315.full2017
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Correlation Clustering with Low-Rank Matriceshttp://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1025.pdf2017
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Scalable Motif-aware Graph Clusteringhttp://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1451.pdf2017
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Indexing Public-Private Graphshttp://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1461.pdf2017
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Semi-supervised Clustering in Attributed Heterogeneous Information Networkshttp://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1621.pdf2017
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Inferring network structure from cascadeshttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.01231920171
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Optimized evolution of networks for principal eigenvector localizationhttps://journals.aps.org/pre/pdf/10.1103/PhysRevE.96.0223122017
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A Fast and Provable Method for Estimating Clique Counts Using Turán’s Theoremhttp://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p441.pdf2017
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ESCAPE: Efficiently Counting All 5-Vertex Subgraphshttp://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1431.pdf2017
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Exposed! A Survey of Attacks on Private Datahttps://privacytools.seas.harvard.edu/publications/exposed-survey-attacks-private-data2017
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Network dynamics of innovation processeshttps://arxiv.org/abs/1707.042392017
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Representation Learning on Graphs: Methods and Applicationshttps://arxiv.org/pdf/1709.05584.pdf2018
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Network Design and the Brainhttp://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(17)30200-02018
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Synchronization of chaotic systems: A microscopic descriptionhttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.98.052204Sam Migirditch2018
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Fashion and art cycles are driven by counter-dominance signals of elite competition: quantitative evidence from music styleshttps://arxiv.org/abs/1901.03114v1Alexander Barron20192019-01-102019-01-18
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The universal decay of collective memory and attentionhttps://www.nature.com/articles/s41562-018-0474-5Alexander Barron20192019-01-012019-01-18
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Objecting to experiments that compare two unobjectionable policies or treatmentshttps://www.pnas.org/content/early/2019/05/08/1820701116YY 20195/9/20195/9/2019
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Testing Statistical Laws in Complex Systemshttps://journals.aps.org/prl/abstract/10.1103/PhysRevLett.122.168301JIisung20191
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Topological limits to the parallel processing capability of network architectureshttps://www-nature-com.proxyiub.uits.iu.edu/articles/s41567-021-01170-x.pdfRachithYesRachith 202173/30/2021
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The strange geometry of skip-gram with negative samplinghttps://www.aclweb.org/anthology/D17-1308/Sadamori201713/30/2021
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A closed form for Jacobian reconstruction from time series and its application as an early warning signal in network dynamicshttps://royalsocietypublishing-org.proxyiub.uits.iu.edu/doi/pdf/10.1098/rspa.2020.0742Rachith4/8/2021
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Not One, but Many Critical States: A Dynamical Systems Perspectivehttps://www.frontiersin.org/articles/10.3389/fncir.2021.614268/fullRachith4/8/2021
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Detecting and modelling real percolation and phase transitions of information on social mediahttps://www.nature.com/articles/s41562-021-01090-zMatt DeVernaYesMatt20212021-1-44/10/2021
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Statistical Physics of adaptationhttps://journals.aps.org/prx/pdf/10.1103/PhysRevX.6.021036HailyYesHaily12018-1-235/6/2021
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Hypergraph reconstruction using network datahttps://arxiv.org/pdf/2008.04948.pdfRachithYes202015/6/2021
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Simplicial models of social contagionhttps://www-nature-com.proxyiub.uits.iu.edu/articles/s41467-019-10431-6RachithYes201922019-6-65/6/2021
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Vanishing size of critical mass for tipping points in social convention https://arxiv.org/pdf/2103.10411.pdfRachithYes202115/6/2021
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Competing contagion processes: Complex contagion triggered by simple contagionhttps://www.nature.com/articles/s41598-018-28615-3Matt DeVernaYes20182018-7-104/10/2021
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Predictability limit of partially observed systemshttps://www-nature-com.proxyiub.uits.iu.edu/articles/s41598-020-77091-1RachithYesRachith20202020-11-205/10/2021
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Inferring network structure from cascadeshttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.012319MariaYesMaria201742017-05-275/20/2021
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Synchronization of chaotic systems: A microscopic descriptionhttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.98.052204MariaYesMaria201822018-11-65/20/2021
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String Generation by Cellular Automatahttps://content.wolfram.com/uploads/sites/13/2021/04/30-2-1.pdfJoshua McGrawYesJoshua McGraw20211
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Multilayer social reinforcement induces bistability on multiplex networkshttps://www.researchgate.net/publication/352044490_Multilayer_social_reinforcement_induces_bistability_on_multiplex_networksJoshua McGrawYesJoshua McGraw6
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Topological data analysis of zebrafish patternshttps://www.pnas.org/content/117/10/5113.shortJohn MetczarYesJohn Metczar6
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Statistical Mechanics for Natural Flocks of Birdshttps://www.pnas.org/content/109/13/4786John MetczarYesJohn Metczar3
90
The Bursts and Lulls of Multimodal Interaction: Temporal Distributions of Behavior Reveal Differences Between Verbal and Non-Verbal Communicationhttps://co-mind.org/rdmaterials/php.cv/pdfs/article/abney_et_al_2018.pdfLarry ZhangYesLarry Zhang3
91
Connectivity and complex systems: learning from a multi-disciplinary perspectivehttps://appliednetsci.springeropen.com/track/pdf/10.1007/s41109-018-0067-2.pdfLarry ZhangYesLarry Zhang4
92
Learning function from structure in neuromorphic networkshttps://www.biorxiv.org/content/10.1101/2020.11.10.350876v1.full.pdfLarry ZhangYesLarry Zhang2
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Reconsidering evidence of moral contagion in online social networkshttps://www.nature.com/articles/s41562-021-01133-5Bao TruongYesBao Truong1
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Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Sciencehttps://www.frontiersin.org/articles/10.3389/fdata.2020.00018/fullBao TruongYesBao Truong3
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The value of complementary co-workershttp://advances.sciencemag.org/content/5/12/eaax3370.abstractClara BoothbyYesClara Boothby6
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Quantifying the impact of weak, strong, and super ties in scientific careershttp://www.pnas.org/content/112/34/E4671.abstractClara BoothbyYesClara Boothby6
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Measurability of Epidemic Reproduction Number in data-driven contact networks
https://www.pnas.org/content/115/50/12680
Varun
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Large Teams develop and small teams disrupthttps://www.nature.com/articles/s41586-019-0941-9?wpisrc=
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New directions in science emerge from disconnection and discordhttps://www.sciencedirect.com/science/article/pii/S175115772100105XManita
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Anomaly Detection with Deep Graph Autoencoders on Attributed Networkshttps://ieeexplore.ieee.org/document/9219684Manita