Bibliography

75 items

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2. Esping-Andersen, G. (1990)

   The three worlds of welfare capitalism

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3. Carrière et al. (2020)

   PersLay: A neural network layer for persistence diagrams and new graph topological signatures

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4. Bodnar et al. (2021)

   Weisfeiler and Lehman go cellular: CW Networks

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5. Veličković et al. (2018)

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6. Kipf & Welling (2017)

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7. Hajij et al. (2022)

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16. Jenkins, S. (2011)

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    Oxford University Press

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17. DiPrete & Eirich (2006)

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    Annual Review of Sociology

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18. Savage et al. (2013)

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19. Goldthorpe & Mills (2008)

    Trends in intergenerational class mobility in modern Britain: Evidence from national surveys, 1972–2005

    National Institute Economic Review

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20. Goldthorpe, J. (2016)

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21. Bukodi & Goldthorpe (2019)

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    Cambridge University Press

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22. Blanden et al. (2013)

    Intergenerational persistence in income and social class: The effect of within-group inequality

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23. Blanden et al. (2004)

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24. Iacopini et al. (2019)

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    Nature Communications

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25. Sizemore et al. (2018)

    The importance of the whole: Topological data analysis for the network neuroscientist

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26. Hiraoka et al. (2016)

    Hierarchical structures of amorphous solids characterized by persistent homology

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27. Rizvi et al. (2017)

    Single-cell topological RNA-seq analysis reveals insights into cellular differentiation and development

    Nature Biotechnology

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28. Saggar et al. (2018)

    Towards a new approach to reveal dynamical organization of the brain using topological data analysis

    Nature Communications

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29. Gidea & Katz (2018)

    Topological data analysis of financial time series: Landscapes of crashes

    Physica A: Statistical Mechanics and its Applications

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30. Lapousière, D. (2024)

    Multipers: Efficient approximation of multiparameter persistence modules

    Journal of Open Source Software

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31. Kerber & Schreiber (2019)

    Barcodes of towers and a streaming algorithm for persistent homology

    Discrete & Computational Geometry

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32. Carlsson & de Silva (2010)

    Zigzag persistence

    Foundations of Computational Mathematics

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33. Singh et al. (2007)

    Topological methods for the analysis of high dimensional data sets and 3D object recognition

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34. Stolz et al. (2017)

    Persistent homology of time-dependent functional networks constructed from coupled time series

    Chaos (Woodbury, N.Y.)

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35. Bobrowski & Kahle (2018)

    Topology of random geometric complexes: A survey

    Journal of Applied and Computational Topology

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36. Atienza et al. (2019)

    Persistent entropy for separating topological features from noise in Vietoris–Rips complexes

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37. Turner et al. (2014)

    Fréchet means for distributions of persistence diagrams

    Discrete & Computational Geometry

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38. Robinson & Turner (2017)

    Hypothesis testing for topological data analysis

    Journal of Applied and Computational Topology

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39. de Silva & Carlsson (2004)

    Topological estimation using witness complexes

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40. Bauer, U. (2021)

    Ripser: Efficient computation of Vietoris–Rips persistence barcodes

    Journal of Applied and Computational Topology

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41. Cohen-Steiner et al. (2007)

    Stability of persistence diagrams

    Discrete & Computational Geometry

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42. Zomorodian & Carlsson (2005)

    Computing persistent homology

    Discrete & Computational Geometry

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43. Edelsbrunner et al. (2002)

    Topological persistence and simplification

    Discrete & Computational Geometry

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44. Edelsbrunner & Harer (2010)

    Computational topology: An introduction

    American Mathematical Society

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45. Carlsson, G. (2009)

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46. Coulter et al. (2016)

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47. Elzinga & Liefbroer (2007)

    De-standardization of family-life trajectories of young adults: A cross-national comparison using sequence analysis

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48. Halpin & Chan (1998)

    Class careers as sequences: An optimal matching analysis of work-life histories

    European Sociological Review

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49. Robette & Thibault (2008)

    Comparing qualitative harmonic analysis and optimal matching: An exploratory study of occupational trajectories

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50. Studer & Ritschard (2016)

    What matters in differences between life trajectories: A comparative review of sequence dissimilarity measures

    Journal of the Royal Statistical Society: Series A

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51. Gauthier et al. (2010)

    Multichannel sequence analysis applied to social science data

    Sociological Methodology

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52. Lesnard, L. (2010)

    Setting cost in optimal matching to uncover contemporaneous socio-temporal patterns

    Sociological Methods & Research

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53. Abbott & Tsay (2000)

    Sequence analysis and optimal matching methods in sociology

    Sociological Methods & Research

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54. Abbott, A. (1995)

    Sequence analysis: New methods for old ideas

    Annual Review of Sociology

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55. Edelsbrunner & Harer (2009)

    Computational Topology

    American Mathematical Society

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56. Cohen-Steiner et al. (2006)

    Stability of Persistence Diagrams

    Discrete & Computational Geometry

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57. Bauer, U. (2021)

    Ripser: efficient computation of Vietoris–Rips persistence barcodes

    Journal of Applied and Computational Topology

    DOI: 10.1007/s41468-021-00071-5

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58. Carlsson, G. (2009)

    Topology and data

    Bulletin of the American Mathematical Society

    DOI: 10.1090/S0273-0979-09-01249-X

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59. Edelsbrunner et al. (2002)

    Topological Persistence and Simplification

    Discrete & Computational Geometry

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60. Loiseaux et al. (2023)

    Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures

    Link ↗

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61. Turner et al. (2014)

    Fréchet Means for Distributions of Persistence Diagrams

    Discrete & Computational Geometry

    DOI: 10.1007/s00454-014-9604-7

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62. Zomorodian & Carlsson (2004)

    Computing Persistent Homology

    Discrete & Computational Geometry

    DOI: 10.1007/s00454-004-1146-y

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63. Vázquez & Cuerno (2025)

    Quantifying displacement: an urban expansion consequence via persistent homology

    DOI: 10.48550/ARXIV.2512.10753

    • 30L15, 53C23, 53C20, 55N31
    • Computational Geometry (cs.CG)
    • FOS: Computer and information sciences
    • Social and Information Networks (cs.SI)
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64. Friesen & Ziegelmeier (2024)

    Understanding U.S. Racial Segregation Through Persistent Homology

    DOI: 10.48550/ARXIV.2410.10886

    • 55N31 (Primary), 62R40, 91D20 (Secondary)
    • FOS: Computer and information sciences
    • Social and Information Networks (cs.SI)
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65. Kauba & Weighill (2023)

    Topological analysis of U.S. city demographics

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    • Mathematics - Algebraic Topology
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66. Hickok et al. (2024)

    Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites

    SIAM Review

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67. Dłotko & Specogna (2012)

    Physics inspired algorithms for (co)homology computation

    DOI: 10.48550/arXiv.1212.1360

    • Computer Science - Computational Engineering, Finance, and Science
    • Mathematics - Geometric Topology
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68. Dłotko & Wagner (2012)

    Computing homology and persistent homology using iterated Morse decomposition

    DOI: 10.48550/arXiv.1210.1429

    • Computer Science - Data Structures and Algorithms
    • Mathematics - Algebraic Topology
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69. Dłotko & Wagner (2013)

    Simplification of complexes for persistent homology computations

    DOI: 10.48550/arXiv.1304.8074

    • Mathematics - Geometric Topology
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70. Bubenik & Dlotko (2017)

    A persistence landscapes toolbox for topological statistics

    Journal of Symbolic Computation

    DOI: 10.1016/j.jsc.2016.03.009

    • Computer Science - Computational Geometry
    • Computer Science - Mathematical Software
    • Mathematics - Algebraic Topology
    • Statistics - Computation
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71. Zielinski et al. (2019)

    Persistence Codebooks for Topological Data Analysis

    DOI: 10.48550/arXiv.1802.04852

    • Computer Science - Machine Learning
    • Mathematics - Algebraic Topology
    • Statistics - Machine Learning
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72. Dłotko, P. (2018)

    Computational and applied topology, tutorial

    DOI: 10.48550/arXiv.1807.08607

    • Computer Science - Mathematical Software
    • Mathematics - Algebraic Topology
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73. Zieliński et al. (2019)

    Persistence Bag-of-Words for Topological Data Analysis

    DOI: 10.48550/arXiv.1812.09245

    • Computer Science - Machine Learning
    • Mathematics - Algebraic Topology
    • Statistics - Machine Learning
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74. Dłotko et al. (2019)

    Cyclicality, Periodicity and the Topology of Time Series

    DOI: 10.48550/arXiv.1905.12118

    • Computer Science - Computational Geometry
    • Mathematics - Algebraic Topology
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75. Dłotko & Hellmer (2024)

    Bottleneck Profiles and Discrete Prokhorov Metrics for Persistence Diagrams

    Discrete & Computational Geometry

    DOI: 10.1007/s00454-023-00498-w

    • Computer Science - Computational Geometry
    • Mathematics - Algebraic Topology
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