Complexity Explorer Santa Fe Institute

SOCIO-BEHAVIORAL SYSTEMS & COLLECTIVE ADAPTATION

 

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.

 

CORE TOPICS

Societal Stability, Crisis & Disintegration

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, Polarization & Consensus

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.

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

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

Cooperation, Conflict & Social Decision-Making

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, Reputation & Cultural Success

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.

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.

Inequality, Segregation & Representation

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

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

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.

Networks, Algorithms & Unequal Outcomes

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.

Social Cohesion, Commons & Self-Organization

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.

 

QUANTITATIVE APPROACHES

Networks of Beliefs & Attitudes

Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., & Isvoranu, A. M. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1), 1–18.

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.

Network Structure & Social Organization

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

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

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.

Statistical Physics of Social Dynamics

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

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

Measuring Collective Emotion

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.

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, Vol. 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.

Digital Trace Data & Political Communication

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. Journal of Digital Social Research, 3(1), 106–118.

Agent-Based & Data-Driven 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. SSRN.

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.

Intervention & System Change

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

 

COMPARATIVE & APPLIED PERSPECTIVES

Health & Medical Systems

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.

Behavioral Dynamics & Epidemics

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.