- Valdez, D., Ten Thij, M., Bathina, K., Rutter, L. A., & Bollen, J. (2020). Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data. Journal of Medical Internet Research, 22(12), e21418.
- Bollen, J., & Gonçalves, B. (2018). Network Happiness: How Online Social Interactions Relate to Our Well Being. In Complex Spreading Phenomena in Social Systems (pp. 257-268). Springer, Cham.
- Marijn ten Thij, Krishna Bathina, Lauren A. Rutter, Lorenzo Lorenzo‑Luaces, Ingrid A. van de Leemput, Marten Scheffer & Johan Bollen (2020) Depression alters the circadian pattern of online activity Scientific Reports:10(17272), https://rdcu.be/b8vzU & doi.org/10.1038/s41598-020-74314-3
- Marijn ten Thij, Lauren Rutter, Lorenzo Lorenzo-Luaces and Johan Bollen (2020). Revealing the complex comorbidity structure of internalizing disorders through hypergraph models. Regular presentation, accepted at COMPLEX NETWORKS 2020, Madrid, Spain
Mental health and well-being
Collective Intelligence
- Bollen, J. (2018). Who would you share your funding with?. Nature, 560(7717), 143-144.
- X Liu, X Yu, Z Gao, T Xia, J Bollen (2016) Comparing Community-based Information Adoption and Diffusion Across Different Microblogging Sites. Proceedings of the 27th ACM Conference on Hypertext and Social Media:103-112
- N Rodriguez, J Bollen, YY Ahn (2016) Collective dynamics of belief evolution under cognitive coherence and social conformity. PLoS ONE 11(11)
- GL Ciampaglia, P Shiralkar, LM Rocha, J Bollen, F Menczer, A Flammini (2015) Computational fact checking from knowledge networks. PloS one 10(6):e0128193
Science of Science
- Bollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. (2009) Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE 4(3): e4803.
- Bollen J, Van de Sompel H, Hagberg A, Chute R (2009) A Principal Component Analysis of 39 Scientific Impact Measures. PLOS ONE 4(6): e6022.
- F Radicchi, A Weissman, J Bollen (2017) Quantifying perceived impact of scientific publications. Journal of Informetrics 11(3):704-712, August
- J Bollen, D Crandall, D Junk, Y Ding, K Börner (2016) An efficient system to fund science: from proposal review to peer-to-peer distributions. Scientometrics:1-8
Socio-economic modeling
Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of computational science, 2(1), 1-8.
Wood, I. B., Varela, P. L., Bollen, J., Rocha, L. M., & Gonçalves-Sá, J. (2017). Human sexual cycles are driven by culture and match collective moods. Scientific reports, 7(1), 1-11.
Lorenzo-Luaces, L., ten Thij, M., Rutter, L. A., and Bollen, J. (2020, November). Online social media activity shows differences in the circadian rhythm of depressed vs. non-depressed Twitter users. Symposium accepted at the 54th Annual Convention of the Association of Behavioral and Cognitive Therapies, Philadelphia, PA.
Johan Bollen, Stephen R. Carpenter, Jane Lubchenco and Marten Scheffer (2019) Rethinking resource allocation in science , Ecology and Society, 24(3):29 (invited manuscript)
Control and Redundancy in Network Dynamics
- R.B. Correia, A.J. Gates, X. Wang, L.M. Rocha [2018]. CANA: A python package for quantifying control and canalization in Boolean Networks. Frontiers in Physiology. 9: 1046. DOI: 10.3389/fphys.2018.01046
- Correia, R.B, Gates, A., Manicka, S., M. Marques-Pita, X. Wang, and L.M. Rocha [2017]. "The effective structure of complex networks: Canalization in the dynamics of complex networks drives dynamics, criticality and control". Complex Networks 2017. The 6th International Workshop on Complex Networks & Their Applications. Nov. 29 - Dec. 01, 2017, Lyon, pp. 354-355
- A. Gates and L.M. Rocha. [2016] "Control of complex networks requires both structure and dynamics." Scientific Reports 6, 24456. doi: 10.1038/srep24456.
- A. Kolchinsky, A. Gates and L.M. Rocha. [2015] "Modularity and the spread of perturbations in complex dynamical systems." Phys. Rev. E Rapid Communications. 92, 060801(R).
Redundancy in Network Topology
R.B. Correia, N. Ratkiewicz, A. Barrat, L.M. Rocha [2018]. The Metric Backbone of Contact Networks in Epidemic Spread Models. Paper and Materials presented at NetSci 2018: International School and Conference on Network Science.
G.L. Ciampaglia, P. Shiralkar, L.M. Rocha, J. Bollen, F. Menczer, A. Flammini [2015]. “Computational fact checking from knowledge networks.” PLoS One. 10(6): e0128193. doi:10.1371/journal.pone.0128193.
T. Simas and L.M. Rocha [2015]."Distance Closures on Complex Networks". Network Science, 3(2):227-268. doi:10.1017/nws.2015.11
T. Simas and L.M. Rocha [2012].”Semi-metric networks for recommender systems“. 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp. 175-179.
Knowledge Networks & Web Intelligence
- R.B. Correia, L.P. de Araújo, M.M. Mattos, L.M. Rocha [2019]. City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions. NPJ Digital Medicine. 2:74
- R.B. Correia, L. Li, L.M. Rocha [2016]. “Monitoring potential drug interactions and reactions via network analysis of Instagram user timeliness“. Pacific Symposium on Biocomputing. 21:492-503.
- G.L. Ciampaglia, P. Shiralkar, L.M. Rocha, J. Bollen, F. Menczer, A. Flammini [2015]. “Computational fact checking from knowledge networks.” PLoS One. 10(6): e0128193. doi:10.1371/journal.pone.0128193.
- Correia, Rion B., K. N. Chan, & L.M. Rocha [2015]. “Polarization in the US Congress.” The 8th Annual Conference of the Comparative Agendas Project (CAP). Lisbon, Portugal, June 23-24, 2015.
Agent-Based Modeling
- M.R. Francisco, I. Wood, S. Sabanovic and L.M. Rocha [2014]. "Designing a minimalist socially aware robotic agent for the home". Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems: 876-883, MIT Press
- A. Abi-Haidar [2011]. "An adaptive document classifier inspired by T-Cell cross-regulation in the immune system" (pdf). PhD Dissertation, Indiana University
- Joslyn, Cliff and Luis M. Rocha [2000]. "Towards Semiotic Agent-Based Models of Socio-Technical Organizations". Proc. AI, Simulation and Planning in High Autonomy Systems (AIS 2000) Conference, Tucson, Arizona, USA. ed. HS Sarjoughian et al., pp. 70-79
- Rocha, Luis M. [2000]. "Syntactic autonomy, cellular automata, and RNA editing: or why self-organization needs symbols to evolve and how it might evolve them". In: Closure: Emergent Organizations and Their Dynamics. Chandler J.L.R. and G, Van de Vijver (Eds.) Annals of the New York Academy of Sciences. Vol. 901, pp 207-223.