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Matematik ve Sosyal Bilimler: Lévi-Strauss’un Yapısalcılığından Hesaplamalı Sosyal Bilimlere

Yıl 2025, Cilt: 45 Sayı: 1, 210 - 239, 30.06.2025

Zübeyde Demircioğlu

Öz

Bu çalışma, Claude Lévi-Strauss’un yapısalcı yaklaşımı çerçevesinde matematiğin sosyal bilimlerdeki kullanımını tarihsel ve kuramsal boyutlarıyla incelemekte; bu doğrultuda “beşerî matematik” kavramını hesaplamalı sosyal bilimler bağlamında yeniden ele almayı amaçlamaktadır. On dokuzuncu yüzyıldan itibaren doğa bilimlerinin ayrılmaz bir parçası haline gelen matematik, II. Dünya Savaşı sonrasında daha “titiz” bilimsel teoriler geliştirmek amacıyla sosyal ve beşerî bilimlerde de kullanılmaya başlanmıştır. Beşerî bilimlerin doğa bilimleri gibi kesin bir bilimsel statüü̈ kazanması gerektiğini savunan Lévi-Strauss kariyerinin erken dönemlerinde matematiksel modellerden yoğun biçimde faydalanmıştır. Ancak Lévi-Strauss, ölçüm matematiğine dayalı nicel yaklaşımlardan farklı olarak, toplumsal yapıları anlamada model matematiğini esas alan niteliksel ve örüntü temelli analizler önermiştir. Bu yönüyle, günümüzde yaygınlaşan örüntü temelli analitik yaklaşımların kuramsal öncüllerinden biri olarak değerlendirilebilir. Bu bağlamda çalışma, hesaplamalı araçlarla yorumlayıcı yöntemleri birleştiren yaklaşım örnekleri üzerinden Lévi-Strauss’un yapısalcı düşüncesi ile çağdaş hesaplamalı sosyal bilimler arasında kuramsal bir süreklilik kurulabileceğini öne sürerken, bu alanlara yöneltilen teorisizleşme, bağlamsızlaşma ve yüzeysel analiz eleştirilerinin, Lévi-Strauss’un kültürel yorumlamayı temel alan yaklaşımıyla yeniden ele alınabileceğini savunmaktadır. Böylece, yapısalcı düşüncenin dijital çağda anlam, yapı ve bağlamı merkeze alan bütüncül analizlere katkı sunabileceği gösterilmektedir.

Anahtar Kelimeler

Lévi-Strauss Yapısalcılık Beşerî matematik Nicel/nitel matematik Veri bilimi Hesaplamalı sosyal bilimler Dijital beşerî bilimler

Kaynakça

  • Agbetu, T. (2024). The dangers of extrapolation, Social Analysis, 68(1), 95-100. google scholar
  • Anderson, C. (2008). The end of theorY: The data deluge makes the scientific method obsolete. Wired magazine, 16(7), 16-07. https:// www.wired.com/2008/06/pb-theorY/ google scholar
  • Aron, R. (2010). SosYolojik Düşüncenin Evreleri (Çev. K. Alemdar). Kırmızı YaYınları. google scholar
  • Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big data: Recent achievements and new challenges. Information Fusion, 28. doi:10.1016/j.inffus.2015.08.005 google scholar
  • Bouleau, N. (2013). Can there be excessive mathematization of the world? In R.C. Dalang, M. Dozzi, & F.Russo (Eds.), Seminar on Stochastic google scholar
  • Analysis, Random Fields and Applications VII (pp. 453-469). Ascona, Switzerland: Springer Basel. doi: 10.1007/978-3-0348-0545-2_23 google scholar
  • BoYd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarlY phenomenon. Information, communication & society, 15(5), 662-679. google scholar
  • Chandler, D. (2015). A world without causation: Big data and the coming of age of posthumanism. Millennium, 43(3), 833-851. google scholar
  • Cicourel, A. V. (1964). Method and measurement in sociologY. Free Press of Glencoe. google scholar
  • Collins, R. (2016). Felsefelerin sosYolojisi: entelektüel değişimin global teorisi, (Çev. T. Göbekçin). SakarYa: SakarYa Üniversitesi YaYınları. google scholar
  • Cowls, J., & Schroeder, R. (2015). Causation, correlation, and big data in social science research. Policy &Internet, 7(4), 447-472. google scholar
  • Daries, J. P., Reich, J., Waldo, J., Young, E. M., Whittinghill, J., Ho, A. D., ... Chuang, I. (2014). PrivacY, anonYmitY, and big data in the social sciences. Communications of the ACM, 57(9), 56-63. google scholar
  • De Almedia, M.W.B. (1990). SYmmetry and Entropy: Mathematical Metaphors in the Work of Levi-Strauss. Current Anthropology, 31(4), 367-385. http://www.jstor.org/stable/2743257 google scholar
  • Debaene, V., ve Keck, F. (2011). Claude Levi-Strauss: Uzaktan bakan insan (Çev. A. Berktay). Yapı Kredi Yayınları. google scholar
  • Demircioğlu, Z. (2023). Pandemiden metaverse’e: veri odaklı toplumun Yükselişi ve riskleri. İnsan ve İnsan, 10(36), 11-23. google scholar
  • Devlin, K. (2012). Introduction to mathematical thinking, Palo Alto, CA: Keith Devlin. google scholar
  • Doja, A., Capocchi, L., & Santucci, J. F. (2021). Computational challenges to test and revitalize Claude Levi-Strauss transformational methodologY. Big Data & Society, 8(2), 20539517211037862. google scholar
  • Edelmann, A., & Mohr, J. W. (2018). Formal studies of culture: Issues, challenges, and current trends. Poetics, 68, 1-9. google scholar
  • Fararo, T. J. (2007). Mathematical sociology. In G. Ritzer (Eds.), The Blackwell EncYclopedia of SociologY (pp. 2853-2855). Blackwell Publishing. google scholar
  • Green, S. (2024). Mathematical Moments, Social Analysis, 68(1), 101-105. doi:10.3167/sa.2024.680104 google scholar
  • Haskeil, R. E. (2008). Claude Levi-Strauss Reconsidered: Cognitive science, epistemology, and the (not so savage) algebraic mind. Cognitive Semiotics, 3(s1), 65-90. doi: 10.1515/cogsem.2008.3.fall2008.65 google scholar
  • Kavanagh, D. (2020). James March in Irvine: A history of the ahistorical in organisation theory. Management Learning, 51(1), 35-54. doi:10.1177/1350507619869680 google scholar
  • Kitchin, R. (2013). Big data and human geography: Opportunities, challenges and risks. Dialogues in Human Geography, 3(3), 262-267. google scholar
  • Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big data & society, 1(1), 1-12. doi: 10.1177/2053951714528 google scholar
  • Küchler, S. (2023). “The Mathematics of Man” by Claude Levi-Strauss-Introduction: Mathematics and Antropology, Social Analysis, 67(2), 80-98. google scholar
  • Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabâsi, A. L., Brewer, D., ... Van Alstyne, M. (2009). Computational social Science. Science, 323(5915), 721-723. google scholar
  • Levi-Strauss, C. (1956). Les mathematiques de l’homme. Esprit, 243 (10), 525-538. google scholar
  • Levi-Strauss, C. (2012). Yapısal Antropoloji (Çev. A. Kahiloğulları). İmge. google scholar
  • Levi-Strauss, C. (2023). The mathematics of man (Trans.M. Carey). Social AnalYsis, 67(2), 89-98. doi: 10.3167/sa.2023.670205 google scholar
  • Linkov, V. (2024). Qualitative (pure) mathematics as an alternative to measurement. Frontiers in Psychology, 15, 1374308. doi: 10.3389/ fpsYg.2024.1374308 google scholar
  • Manovich, L. (2017). Cultural AnalYtics, social computing and digital humanities. İn M. T. Schafer & K. van Es (Eds.). The Datafied Society: Studying Culture through Data (pp. 55-69). Amsterdam University Press. google scholar
  • Marshall, G. (2005). Sosyoloji Sözlüğü (Çev. O. Akınhay ve D. Kömürcü). Bilim ve Sanat Yayınları. google scholar
  • MaYer-Schönberger, V. & Cukier, K. (2013) Big Data: A revolution that will change how we live, work and think. London: John Murray. google scholar
  • Mills, K. A. (2018). What are the threats and potentials of big data for qualitative research?. Qualitative Research, 18(6), 591-603. google scholar
  • Mills, K. A. (2019). Big data for qualitative research. Taylor & Francis. google scholar
  • Mohr, J. W. (1998). Measuring meaning structures. Annual review of sociology, 24(1), 345-370. google scholar
  • Mohr, J. W., Bail, C. A., Frye, M., Lena, J. C., Lizardo, O., McDonnell, T. E., Mische, A., Tavory, I. and Wherry, F. F.. Measuring Culture, New York Chichester, West Sussex: Columbia UniversitY Press, 2020. google scholar
  • Nelson, L. K. (2017). Computational Grounded Theory: A Methodological Framework. Sociological Methods & Research, 49(i), 3-42. https:// doi.org/10.1177/0049124117729703 (Original work published 2020) google scholar
  • O’Connor, B., BalasubramanYan, R., Routledge, B., & Smith, N. (2010). From tweets to polls: Linking text sentiment to public opinion time series. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 122-129. doi:10.1609/icwsm.v4i1.14031 google scholar
  • Parks, M. R. (2014). Big data in communication research: Its contents and discontents. Journal of communication, 64(2), 355-360. google scholar
  • Pentland, A. (2013). The data driven societY. Scientific American, 309(4), 78-83. http://www.jstor.org/stable/26018109 google scholar
  • Phillips, C. J. (2014). In accordance with a “More Majestic Order”: The New Math and the nature of mathematics at midcenturY. Isis, 105(3), 540-563. google scholar
  • Phillips, C. J. (2015). The new math: a political historY. The UniversitY of Chicago Press. google scholar
  • Porter, T. M. (1995). Trust in numbers: The pursuit of objectivity in science and public life. Princeton UniversitY Press. google scholar
  • Rio, K. (2024). On mYth and math, Social Analysis, 68(1), 86- 89. doi:10.3167/sa.2024.680104 google scholar
  • Rivers, W. H. R. (1914). The history of Melanesian Society. The University Press. google scholar
  • Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063-1064. google scholar
  • Sânchez-Villagra, M. R. (2022). Claude Levi-Strauss as a hümanist forerunner of cultural macroevolution studies. Evolutionary Human Sciences, 4, e31. doi:10.1017/ehs.2022.30 google scholar
  • Savage, M. & Burrows, R. (2007). The coming crisis of empirical sociology, Sociology, 41(5), 885-899. google scholar
  • Savage, M., & Burrows, R. (2009). Some further reflections on the coming crisis of empirical sociology. Sociology, 43(4), 762-772. google scholar
  • Schroeder, R. (2014). Big Data: Towards a more scientific social science and humanities. In M. Graham & M. Dutton (Eds.). Society and the Internet (pp. 164-176). Oxford University Press. google scholar
  • Schroeder, R. (2020). Big data and cumulation in the social sciences. Information, Communication & Society, 23(11), 1593-1607. google scholar
  • Seaver, N. (2014). Structuralism: Thinking with computer, Savage Minds: Notes and Queries in Anthropology, https://savageminds.org/ 2014/05/21/structuralism-thinking-with-computers/, google scholar
  • Seaver, N. (2015). Bastard algebra. In T. Boellstorff & B. Maurer (Eds.), Data, now bigger and better, (pp. 27 46). Prickly Paradigm Press. google scholar
  • Seaver, N. & Maurer B. (2024). The mathematics of models and the mathematics of measure in Southern California, Social Analysis, 68(1), 77- 82. doi:10.3167/sa.2024.680104 google scholar
  • Tinati, R., Halford, S., Carr, L., & Pope, C. (2014). Big data: Methodological challenges and approaches for sociological analysis. Sociology, 48(4), 663-681. google scholar
  • Tunçbilek, Ş. S. (2024). Fikirlerin Uluslararası Dolaşımına ilişkin Asimetriler: Levi-Strauss ve Yapısal Antropolojinin Brezilya ve Türkiye'de Alımlanma(ma)sı (Doktora tezi, İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul). https://tez.yok.gov.tr/UlusalTezMerkezi adresinden edinilmiştir. google scholar
  • Uher, J. (2022). Functions of units, scales and quantitative data: Fundamental differences in numerical traceability between sciences. Quality & Quantity, 56(4), 2519-2548. doi:10.1007/s11135-021-01215-6 google scholar
  • Veltri, G. A. (2017). Big data is not only about data: The two cultures of modelling. Big Data & Society, 4(1). doi: 10.1177/205395171770399 google scholar
  • Yücel, T. (2016). Yapısalcılık, Can Yayınları. google scholar

Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences

Yıl 2025, Cilt: 45 Sayı: 1, 210 - 239, 30.06.2025

Zübeyde Demircioğlu

Öz

This study explores the use of mathematics in the social sciences through Claude Lévi-Strauss’s structuralist approach. It aims to revisit the idea of “human mathematics” in the context of computational social sciences. While mathematics became central to the natural sciences in the 19th century, it began to influence the social sciences more strongly after World War II, with efforts to develop more rigorous theories. Lévi-Strauss supported applying scientific methods to the human sciences and made frequent use of mathematical models in his early work. However, rather than focusing on quantitative methods based on measurement, he emphasized pattern-based and model-driven qualitative analysis to understand social structures. His approach can be seen as an early theoretical foundation for today’s computational, pattern-oriented methods. In this context, the study argues that a theoretical continuity can be established between Lévi-Strauss’s structuralist thought and contemporary computational social sciences through examples that combine computational tools with interpretive methods. It also suggests that common criticisms directed at computational approaches—such as de-theorization, loss of context, and superficial analysis—can be reconsidered through Lévi-Strauss’s culturally grounded, interpretive framework. Thus, structuralist thought is shown to offer integrative analytical possibilities for a digital era that centers meaning, structure, and context.

Anahtar Kelimeler

Lévi-Strauss Structuralism Human mathematics Quantitative/qualitative mathematics Data science Computational social sciences Digital humanities

Kaynakça

  • Agbetu, T. (2024). The dangers of extrapolation, Social Analysis, 68(1), 95-100. google scholar
  • Anderson, C. (2008). The end of theorY: The data deluge makes the scientific method obsolete. Wired magazine, 16(7), 16-07. https:// www.wired.com/2008/06/pb-theorY/ google scholar
  • Aron, R. (2010). SosYolojik Düşüncenin Evreleri (Çev. K. Alemdar). Kırmızı YaYınları. google scholar
  • Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big data: Recent achievements and new challenges. Information Fusion, 28. doi:10.1016/j.inffus.2015.08.005 google scholar
  • Bouleau, N. (2013). Can there be excessive mathematization of the world? In R.C. Dalang, M. Dozzi, & F.Russo (Eds.), Seminar on Stochastic google scholar
  • Analysis, Random Fields and Applications VII (pp. 453-469). Ascona, Switzerland: Springer Basel. doi: 10.1007/978-3-0348-0545-2_23 google scholar
  • BoYd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarlY phenomenon. Information, communication & society, 15(5), 662-679. google scholar
  • Chandler, D. (2015). A world without causation: Big data and the coming of age of posthumanism. Millennium, 43(3), 833-851. google scholar
  • Cicourel, A. V. (1964). Method and measurement in sociologY. Free Press of Glencoe. google scholar
  • Collins, R. (2016). Felsefelerin sosYolojisi: entelektüel değişimin global teorisi, (Çev. T. Göbekçin). SakarYa: SakarYa Üniversitesi YaYınları. google scholar
  • Cowls, J., & Schroeder, R. (2015). Causation, correlation, and big data in social science research. Policy &Internet, 7(4), 447-472. google scholar
  • Daries, J. P., Reich, J., Waldo, J., Young, E. M., Whittinghill, J., Ho, A. D., ... Chuang, I. (2014). PrivacY, anonYmitY, and big data in the social sciences. Communications of the ACM, 57(9), 56-63. google scholar
  • De Almedia, M.W.B. (1990). SYmmetry and Entropy: Mathematical Metaphors in the Work of Levi-Strauss. Current Anthropology, 31(4), 367-385. http://www.jstor.org/stable/2743257 google scholar
  • Debaene, V., ve Keck, F. (2011). Claude Levi-Strauss: Uzaktan bakan insan (Çev. A. Berktay). Yapı Kredi Yayınları. google scholar
  • Demircioğlu, Z. (2023). Pandemiden metaverse’e: veri odaklı toplumun Yükselişi ve riskleri. İnsan ve İnsan, 10(36), 11-23. google scholar
  • Devlin, K. (2012). Introduction to mathematical thinking, Palo Alto, CA: Keith Devlin. google scholar
  • Doja, A., Capocchi, L., & Santucci, J. F. (2021). Computational challenges to test and revitalize Claude Levi-Strauss transformational methodologY. Big Data & Society, 8(2), 20539517211037862. google scholar
  • Edelmann, A., & Mohr, J. W. (2018). Formal studies of culture: Issues, challenges, and current trends. Poetics, 68, 1-9. google scholar
  • Fararo, T. J. (2007). Mathematical sociology. In G. Ritzer (Eds.), The Blackwell EncYclopedia of SociologY (pp. 2853-2855). Blackwell Publishing. google scholar
  • Green, S. (2024). Mathematical Moments, Social Analysis, 68(1), 101-105. doi:10.3167/sa.2024.680104 google scholar
  • Haskeil, R. E. (2008). Claude Levi-Strauss Reconsidered: Cognitive science, epistemology, and the (not so savage) algebraic mind. Cognitive Semiotics, 3(s1), 65-90. doi: 10.1515/cogsem.2008.3.fall2008.65 google scholar
  • Kavanagh, D. (2020). James March in Irvine: A history of the ahistorical in organisation theory. Management Learning, 51(1), 35-54. doi:10.1177/1350507619869680 google scholar
  • Kitchin, R. (2013). Big data and human geography: Opportunities, challenges and risks. Dialogues in Human Geography, 3(3), 262-267. google scholar
  • Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big data & society, 1(1), 1-12. doi: 10.1177/2053951714528 google scholar
  • Küchler, S. (2023). “The Mathematics of Man” by Claude Levi-Strauss-Introduction: Mathematics and Antropology, Social Analysis, 67(2), 80-98. google scholar
  • Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabâsi, A. L., Brewer, D., ... Van Alstyne, M. (2009). Computational social Science. Science, 323(5915), 721-723. google scholar
  • Levi-Strauss, C. (1956). Les mathematiques de l’homme. Esprit, 243 (10), 525-538. google scholar
  • Levi-Strauss, C. (2012). Yapısal Antropoloji (Çev. A. Kahiloğulları). İmge. google scholar
  • Levi-Strauss, C. (2023). The mathematics of man (Trans.M. Carey). Social AnalYsis, 67(2), 89-98. doi: 10.3167/sa.2023.670205 google scholar
  • Linkov, V. (2024). Qualitative (pure) mathematics as an alternative to measurement. Frontiers in Psychology, 15, 1374308. doi: 10.3389/ fpsYg.2024.1374308 google scholar
  • Manovich, L. (2017). Cultural AnalYtics, social computing and digital humanities. İn M. T. Schafer & K. van Es (Eds.). The Datafied Society: Studying Culture through Data (pp. 55-69). Amsterdam University Press. google scholar
  • Marshall, G. (2005). Sosyoloji Sözlüğü (Çev. O. Akınhay ve D. Kömürcü). Bilim ve Sanat Yayınları. google scholar
  • MaYer-Schönberger, V. & Cukier, K. (2013) Big Data: A revolution that will change how we live, work and think. London: John Murray. google scholar
  • Mills, K. A. (2018). What are the threats and potentials of big data for qualitative research?. Qualitative Research, 18(6), 591-603. google scholar
  • Mills, K. A. (2019). Big data for qualitative research. Taylor & Francis. google scholar
  • Mohr, J. W. (1998). Measuring meaning structures. Annual review of sociology, 24(1), 345-370. google scholar
  • Mohr, J. W., Bail, C. A., Frye, M., Lena, J. C., Lizardo, O., McDonnell, T. E., Mische, A., Tavory, I. and Wherry, F. F.. Measuring Culture, New York Chichester, West Sussex: Columbia UniversitY Press, 2020. google scholar
  • Nelson, L. K. (2017). Computational Grounded Theory: A Methodological Framework. Sociological Methods & Research, 49(i), 3-42. https:// doi.org/10.1177/0049124117729703 (Original work published 2020) google scholar
  • O’Connor, B., BalasubramanYan, R., Routledge, B., & Smith, N. (2010). From tweets to polls: Linking text sentiment to public opinion time series. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 122-129. doi:10.1609/icwsm.v4i1.14031 google scholar
  • Parks, M. R. (2014). Big data in communication research: Its contents and discontents. Journal of communication, 64(2), 355-360. google scholar
  • Pentland, A. (2013). The data driven societY. Scientific American, 309(4), 78-83. http://www.jstor.org/stable/26018109 google scholar
  • Phillips, C. J. (2014). In accordance with a “More Majestic Order”: The New Math and the nature of mathematics at midcenturY. Isis, 105(3), 540-563. google scholar
  • Phillips, C. J. (2015). The new math: a political historY. The UniversitY of Chicago Press. google scholar
  • Porter, T. M. (1995). Trust in numbers: The pursuit of objectivity in science and public life. Princeton UniversitY Press. google scholar
  • Rio, K. (2024). On mYth and math, Social Analysis, 68(1), 86- 89. doi:10.3167/sa.2024.680104 google scholar
  • Rivers, W. H. R. (1914). The history of Melanesian Society. The University Press. google scholar
  • Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063-1064. google scholar
  • Sânchez-Villagra, M. R. (2022). Claude Levi-Strauss as a hümanist forerunner of cultural macroevolution studies. Evolutionary Human Sciences, 4, e31. doi:10.1017/ehs.2022.30 google scholar
  • Savage, M. & Burrows, R. (2007). The coming crisis of empirical sociology, Sociology, 41(5), 885-899. google scholar
  • Savage, M., & Burrows, R. (2009). Some further reflections on the coming crisis of empirical sociology. Sociology, 43(4), 762-772. google scholar
  • Schroeder, R. (2014). Big Data: Towards a more scientific social science and humanities. In M. Graham & M. Dutton (Eds.). Society and the Internet (pp. 164-176). Oxford University Press. google scholar
  • Schroeder, R. (2020). Big data and cumulation in the social sciences. Information, Communication & Society, 23(11), 1593-1607. google scholar
  • Seaver, N. (2014). Structuralism: Thinking with computer, Savage Minds: Notes and Queries in Anthropology, https://savageminds.org/ 2014/05/21/structuralism-thinking-with-computers/, google scholar
  • Seaver, N. (2015). Bastard algebra. In T. Boellstorff & B. Maurer (Eds.), Data, now bigger and better, (pp. 27 46). Prickly Paradigm Press. google scholar
  • Seaver, N. & Maurer B. (2024). The mathematics of models and the mathematics of measure in Southern California, Social Analysis, 68(1), 77- 82. doi:10.3167/sa.2024.680104 google scholar
  • Tinati, R., Halford, S., Carr, L., & Pope, C. (2014). Big data: Methodological challenges and approaches for sociological analysis. Sociology, 48(4), 663-681. google scholar
  • Tunçbilek, Ş. S. (2024). Fikirlerin Uluslararası Dolaşımına ilişkin Asimetriler: Levi-Strauss ve Yapısal Antropolojinin Brezilya ve Türkiye'de Alımlanma(ma)sı (Doktora tezi, İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul). https://tez.yok.gov.tr/UlusalTezMerkezi adresinden edinilmiştir. google scholar
  • Uher, J. (2022). Functions of units, scales and quantitative data: Fundamental differences in numerical traceability between sciences. Quality & Quantity, 56(4), 2519-2548. doi:10.1007/s11135-021-01215-6 google scholar
  • Veltri, G. A. (2017). Big data is not only about data: The two cultures of modelling. Big Data & Society, 4(1). doi: 10.1177/205395171770399 google scholar
  • Yücel, T. (2016). Yapısalcılık, Can Yayınları. google scholar
Toplam 60 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Uygulamalı Sosyoloji, Program Değerlendirmesi ve Sosyal Etki Değerlendirmesi
Bölüm ARAŞTIRMA MAKALELERİ
Yazarlar

Zübeyde Demircioğlu

Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 28 Şubat 2025
Kabul Tarihi 19 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 45 Sayı: 1

Kaynak Göster

APA Demircioğlu, Z. (2025). Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences. İstanbul University Journal of Sociology, 45(1), 210-239. https://doi.org/10.26650/SJ.2025.45.1.0760
AMA Demircioğlu Z. Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences. İstanbul University Journal of Sociology. Haziran 2025;45(1):210-239. doi:10.26650/SJ.2025.45.1.0760
Chicago Demircioğlu, Zübeyde. “Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences”. İstanbul University Journal of Sociology 45, sy. 1 (Haziran 2025): 210-39. https://doi.org/10.26650/SJ.2025.45.1.0760.
EndNote Demircioğlu Z (01 Haziran 2025) Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences. İstanbul University Journal of Sociology 45 1 210–239.
IEEE Z. Demircioğlu, “Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences”, İstanbul University Journal of Sociology, c. 45, sy. 1, ss. 210–239, 2025, doi: 10.26650/SJ.2025.45.1.0760.
ISNAD Demircioğlu, Zübeyde. “Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences”. İstanbul University Journal of Sociology 45/1 (Haziran 2025), 210-239. https://doi.org/10.26650/SJ.2025.45.1.0760.
JAMA Demircioğlu Z. Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences. İstanbul University Journal of Sociology. 2025;45:210–239.
MLA Demircioğlu, Zübeyde. “Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences”. İstanbul University Journal of Sociology, c. 45, sy. 1, 2025, ss. 210-39, doi:10.26650/SJ.2025.45.1.0760.
Vancouver Demircioğlu Z. Mathematics and Social Sciences: From Lévi-Strauss’s Structuralism to Computational Social Sciences. İstanbul University Journal of Sociology. 2025;45(1):210-39.
 Kapak Resmi İndir