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1. A straightforward proof of the critical value in the Hegselmann-Krause model: up to one-half
   2024/08/07 by Li, Hsin-Lun · 1 citation
   #91C20 #91D25 #91D30 #94C15 #FOS: Mathematics #Probability (math.PR)
2. Network-Adjusted Covariates for Community Detection
   2023/06/27 by Hu, Yaofang, Wang, Wanjie · 1 citation
   #62F12 #91C20 #91D30 #FOS: Computer and information sciences #Methodology (stat.ME)
3. Multiple Randomization Designs: Estimation and Inference with Interference
   2021/12/27 by Masoero, Lorenzo, Vijaykumar, Suhas, Richardson, Thomas +5 · 2 citations
   #62B15 (Primary) 91B82 #91B26 #91B80 #91C20 #91C20 (Secondary) #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #G.3 #I.2.6 #J.4 #Methodology (stat.ME) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
4. Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance
   2020/04/20 by Fountoulakis, K., Liu, M., Gleich, D. F. +1 · 1 citation
   #60J20 #62H30 #91C20 #91D30 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
5. Opinion formation models with heterogeneous persuasion and zealotry
   2018/03/27 by Pérez-Llanos, Mayte, Pinasco, Juan Pablo, Saintier, Nicolas +1 · 2 citations
   #60K35 #82B21 #91C20 #Analysis of PDEs (math.AP) #FOS: Mathematics
6. Constant-Factor Approximation for Ordered k-Median
   2017/11/06 by Byrka, Jarosław, Sornat, Krzysztof, Spoerhase, Joachim · 2 citations
   #68W20 #68W25 #68W40 #90B80 #90C05 #91C20 #Data Structures and Algorithms (cs.DS) #F.2.2 #FOS: Computer and information sciences #G.2
7. Mixed Membership Estimation for Social Networks
   2017/08/25 by Jin, Jiashun, Ke, Zheng Tracy, Luo, Shengming · 2 citations
   #62H30 #62P25 #91C20 #FOS: Computer and information sciences #Methodology (stat.ME)
8. On spectral partitioning of signed graphs
   2017/01/05 by Knyazev, Andrew V. · 3 citations
   #05C50 #05C70 #15A18 #58C40 #62H30 #65F15 #65N25 #91C20 #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #H.3.3 #I.5.3 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
9. What are the true clusters?
   2015/02/09 by Hennig, Christian · 5 citations
   #03A05 #62H30 #91C20 #FOS: Computer and information sciences #Other Statistics (stat.OT)
10. Consistency of Cheeger and Ratio Graph Cuts
    2014/11/24 by Trillos, Nicolas Garcia, Slepcev, Dejan, von Brecht, James +2 · 1 citation
    #49J55 #60D05 #62G20 #62H30 #68R10 #91C20 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
11. A Method Based on Total Variation for Network Modularity Optimization using the MBO Scheme
    2013/04/17 by Hu, Huiyi, Laurent, Thomas, Porter, Mason A. +1 · 1 citation
    #62H30 #91C20 #91D30 #94C15 #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Optimization and Control (math.OC) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
12. Community detection using spectral clustering on sparse geosocial data
    2012/06/21 by van Gennip, Yves, Hunter, Blake, Ahn, Raymond +9 · 2 citations
    #62H30 #91C20 #91D30 #94C15 #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)