Complexity Explorer Santa Few Institute

Complexity-GAINs Curriculum

Lead instructor:

Your progress is not being saved! Enroll now or log in to track your progress or submit homework.

2.3 Reading List » Reading List

Overview & Synthesis

Galesic, M., Barkoczi, D., Berdahl, A. M., Biro, D., Carbone, G., Giannoccaro, I., ... & Stein, D. L. (2023). Beyond collective intelligence: Collective adaptation. Journal of the Royal Society Interface, 20(200), 20220736.


Disintegration of Societies

Kondor, D., Bennett, J. S., Gronenborn, D., Antunes, N., Hoyer, D., & Turchin, P. (2022). Explaining population booms and busts in Mid-Holocene Europe.

Turchin, P. (2021). Multipath Forecasting: the Aftermath of the 2020 American Crisis.

Turchin, P., & Korotayev, A. (2020). The 2010 structural-demographic forecast for the 2010–2020 decade: A retrospective assessment. PloS one, 15(8), e0237458

Belief Dynamics

van der Maas, H. L., Dalege, J., & Waldorp, L. (2020). The polarization within and across individuals: The hierarchical Ising opinion model. Journal of complex networks, 8(2), cnaa010.

Emotions & Polarization

De Dreu, C. K., Gross, J., Fariña, A., & Ma, Y. (2020). Group cooperation, carrying-capacity stress, and intergroup conflict. Trends in Cognitive Sciences, 24(9), 760-776.

Gallo, E., & Yan, C. (2015). The effects of reputational and social knowledge on cooperation. Proceedings of the National Academy of Sciences, 112(12), 3647-3652.

van Dijk, E., & De Dreu, C. K. (2021). Experimental games and social decision making. Annual Review of Psychology, 72, 415-438.

Social Structure

Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006). Experimental study of inequality and unpredictability in an artificial cultural market. Science, 311(5762), 854-856.

Fraiberger, S. P., Sinatra, R., Resch, M., Riedl, C., & Barabási, A. L. (2018). Quantifying reputation and success in art. Science, 362(6416), 825-829.

Structural Inequalities: Criminal Justice & Meritocracy

O'Flaherty, B., & Sethi, R. (2019). Shadows of Doubt. Harvard University Press.

Sethi, R., & Somanathan, R. (2022). Meritocracy and Representation. SSRN.

Additional references

Bowles, S., Loury, G. C., & Sethi, R. (2014). Group inequality. Journal of the European Economic Association, 12(1), 129-152.

Sethi, R., & Somanathan, R. (2004). Inequality and segregation. Journal of Political Economy, 112(6), 1296-1321.

Sethi, R., & Yildiz, M. (2016). Communication with unknown perspectives. Econometrica, 84(6), 2029-2069.

Algorithmic Inequalities: Homophily & Preferential Attachment

Karimi, F., Oliveira, M., & Strohmaier, M. (2022). Minorities in networks and algorithms. arXiv preprint arXiv:2206.07113.

Karimi, F., Génois, M., Wagner, C., Singer, P., & Strohmaier, M. (2018). Homophily influences ranking of minorities in social networks. Scientific reports, 8(1), 1-12.

Systems of Inequalities: Healthcare

Fotouhi, B., Momeni, N., Riolo, M. A., & Buckeridge, D. L. (2018). Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data. Applied Network Science, 3(1), 1-34.

Hripcsak, G., & Albers, D. J. (2013). Next-generation phenotyping of electronic health records. Journal of the American Medical Informatics Association, 20(1), 117-121.

Social Cohesion: Governing the Commons

Gandica, Y., Lansing, J. S., Chung, N. N., Thurner, S., & Chew, L. Y. (2021). Bali’s ancient rice terraces: A hamiltonian approach. Physical Review Letters, 127(16), 168301

Lansing, J. S., Thurner, S., Chung, N. N., Coudurier-Curveur, A., Karakaş, Ç., Fesenmyer, K. A., & Chew, L. Y. (2017). Adaptive self-organization of Bali’s ancient rice terraces. Proceedings of the National Academy of Sciences, 114(25), 6504-6509.

Lansing, J. S., Jacobs, G. S., Downey, S. S., Norquest, P. K., Cox, M. P., Kuhn, S. L., ... & Kusuma, P. (2022). Deep ancestry of collapsing networks of nomadic hunter–gatherers in Borneo. Evolutionary Human Sciences, 4, e9.


Networks of Beliefs

Borsboom D, Deserno MK, Rhemtulla M, Epskamp S, Fried EI, McNally RJ, Robinaugh DJ, Perugini M, Dalege J, Costantini G, Isvoranu AM. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1):1-8.

Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. (2018). The attitudinal entropy (AE) framework as a general theory of individual attitudes. Psychological Inquiry, 29(4), 175-193.

Measuring Emotions

Lazer, D., Hargittai, E., Freelon, D., Gonzalez-Bailon, S., Munger, K., Ognyanova, K., & Radford, J. (2021). Meaningful measures of human society in the twenty-first century. Nature, 595(7866), 189-196.

Metzler, F., Pellert, M., & Garcia, D. (2022). Using social media data to capture emotions before and during COVID-19. In World Happiness Report 2022.

Additional references

Garcia, D., & Rimé, B. (2019). Collective emotions and social resilience in the digital traces after a terrorist attack. Psychological science, 30(4), 617-628.

Garcia, D., Pellert, M., Lasser, J., & Metzler, H. (2021). Social media emotion macroscopes reflect emotional experiences in society at large. arXiv preprint arXiv:2107.13236.

Pellert, M., Schweighofer, S., & Garcia, D. (2021). Social media data in affective science. In Handbook of Computational Social Science, Volume 1 (pp. 240-255). Routledge.

Pellert, M., Metzler, H., Matzenberger, M., & Garcia, D. (2022). Validating daily social media macroscopes of emotions. Scientific Reports, 12(1), 11236.

Network Structure & Measures

Clauset, A. Network Analysis and Modeling course [CSCI 5352] University of Colorado, Boulder 

van der Does, T., Galesic, M., Dunivin, Z. O., & Smaldino, P. E. (2022). Strategic identity signaling in heterogeneous networks. Proceedings of the National Academy of Sciences, 119(10), e2117898119.

Rule, A., Cointet, J. P., & Bearman, P. S. (2015). Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790–2014. Proceedings of the National Academy of Sciences, 112(35), 10837-10844.

Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’networks. Nature, 393(6684), 440-442.

Statistical Physics Models of Social Systems

Bardoscia, M., Livan, G., & Marsili, M. (2017). Statistical mechanics of complex economies. Journal of Statistical Mechanics: Theory and Experiment, 2017(4), 043401.

Bhat, D., & Redner, S. (2020). Polarization and consensus by opposing external sources. Journal of Statistical Mechanics: Theory and Experiment, 2020(1), 013402.

Castellano, C., Fortunato, S., & Loreto, V. (2009). Statistical physics of social dynamics. Reviews of modern physics, 81(2), 591.

Redner, S. (2019). Reality-inspired voter models: A mini-review. Comptes Rendus Physique, 20(4), 275-292.

Social Media Data

Gaisbauer, F., Pournaki, A., Banisch, S., & Olbrich, E. (2021). Ideological differences in engagement in public debate on Twitter. Plos one, 16(3), e0249241.

Gaisbauer, F., Pournaki, A., Banisch, S., & Olbrich, E. (2021). Grounding force-directed network layouts with latent space models. arXiv preprint arXiv:2110.11772.

Gaumont, N., Panahi, M., & Chavalarias, D. (2018). Reconstruction of the socio-semantic dynamics of political activist Twitter networks—Method and application to the 2017 French presidential election. PloS one, 13(9), e0201879.

Olbrich, E., & Banisch, S. (2021). The rise of populism and the reconfiguration of the German political space. Frontiers in big Data, 83.

Pournaki, A., Gaisbauer, F., Banisch, S., & Olbrich, E. (2021). The twitter explorer: a framework for observing twitter through interactive networks. J. Digital Social Research, 3 (2021) 1, 106-118.

Empirical Studies

Arthur, R. F., Jones, J. H., Bonds, M. H., Ram, Y., & Feldman, M. W. (2021). Adaptive social contact rates induce complex dynamics during epidemics. PLoS computational biology, 17(2), e1008639.

Ferguson, N. (2007). Capturing human behaviour. Nature, 446(7137), 733-733.

optional reading

Meadows, D. H. (1999). Leverage points: Places to intervene in a system.

Agent-Based Models

Farmer, J. D., & Foley, D. (2009). The economy needs agent-based modelling. Nature, 460(7256), 685-686.

Mealy, P., del Rio-Chanona, R. M., & Farmer, J. D. (2018). What you do at work matters: new lenses on labour. What You Do at Work Matters: New Lenses on Labour (March 18, 2018).

del Rio-Chanona, R. M., Mealy, P., Beguerisse-Díaz, M., Lafond, F., & Farmer, J. D. (2021). Occupational mobility and automation: a data-driven network model. Journal of the Royal Society Interface, 18(174), 20200898.