References
- Albi, G., Pareschi, L., Toscani, G., & Zanella, M. (2017). Recent advances in opinion modeling: control and social influence (pp. 49–98). Springer International Publishing.
- Altafini, C. (2012). Consensus problems on networks with antagonistic interactions. IEEE Transactions on Automatic Control, 58(4), 935–946. https://doi.org/10.1109/TAC.2012.2224251
- Amblard, F., & Deffuant, G. (2004). The role of network topology on extremism propagation with the relative agreement opinion dynamics. Physica A: Statistical Mechanics and Its Applications, 343(1),725–738. https://doi.org/10.1016/j.physa.2004.06.102
- Amelkin, V., Bullo, F., & Singh, A. K. (2017). Polar opinion dynamics in social networks. IEEE Transactions on Automatic Control, 62(11), 5650–5665. https://doi.org/10.1109/TAC.2017.2694341
- Bastos, M. T., & Mercea, D. (2019). The brexit botnet and user-generated hyperpartisan news. Social Science Computer Review, 37(1), 38–54. https://doi.org/10.1177/0894439317734157
- Ben-Naim, E., Krapivsky, P. L., Vazquez, F., & Redner, S. (2003). Unity and discord in opinion dynamics. Physica A: Statistical Mechanics and Its Applications, 330(1), 99–106. https://doi.org/10.1016/j.physa.2003.08.027
- Bianchi, F., Nozza, D., & Hovy, D. (2021). “FEEL-IT: Emotion and Sentiment Classification for the Italian Language.” In Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Association for Computational Linguistics. https://aclanthology.org/volumes/2021.wassa-1/
- Borghesi, C., & Galam, S. (2006). Chaotic, staggered, and polarized dynamics in opinion forming: The contrarian effect. Physics Rev. E, 73(6), 066118. https://doi.org/10.1103/PhysRevE.73.066118
- Boyd-Graber, J., Mimno, D., & Newman, D. (2014). Care and feeding of topic models: problems, diagnostics, and improvements. In doardo M. Airoldi and David Blei and Elena A. Erosheva and Stephen E. Fienberg (Eds.,), CRC Handbooks Of Modern Statistical Methods (pp. 225–254). CRC Press.
- Boykoff, M. T., & Olson, S. K. (2013). ‘Wise contrarians’: A keystone species in contemporary climate science, politics and policy. Celebrity Studies, 4(3), 276–291. https://doi.org/10.1080/19392397.2013.831618
- Cercel, D.-C., & Trausan-Matu, S. 2014. “Opinion propagation in online social networks: a survey.” In Proceedings of the 4th international conference on web intelligence, mining and semantics (WIMS14), WIMS ’14, 11:1–11: 10. ACM, Thessaloniki Greece. https://dl.acm.org/doi/proceedings/10.1145/2611040
- Cristiani, E., & Tosin, A. (2018). Reducing Complexity of Multiagent Systems with Symmetry Breaking: An Application to Opinion Dynamics with Polls. Multiscale Modeling & Simulation, 16(1), 528–549. https://doi.org/10.1137/17M113397X
- Dacrema, E., & Benati, S. (2020). The mechanics of contentious politics: An agent-based modeling approach. The Journal of Mathematical Sociology, 44(3), 163–198. https://doi.org/10.1080/0022250X.2020.1753187
- Deffuant, G., Amblard, F., Weisbuch, G., & Faure, T. (2002). How can extremism prevail? A study based on the relative agreement interaction model. Journal of Artificial Societies and Social Simulation, 5(4). https://www.jasss.org/5/4/1.html
- Ding, F., Liu, Y., Shen, B., & Xia-Meng, S. (2010). An evolutionary game theory model of binary opinion formation. Physica A: Statistical Mechanics and Its Applications, 389(8), 1745–1752. https://doi.org/10.1016/j.physa.2009.12.028
- Friedkin, N. E. (2015). The problem of social control and coordination of complex systems in sociology: A look at the community cleavage problem. IEEE Control Systems Magazine, 35(3), 40–51. 1 0.1 109/MCS.2015.2406655
- Friedkin, N. E., & Johnsen, E. C. (1990). Social influence and opinions. Journal of Mathematical Sociology, 15(3–4), 193–206. https://doi.org/10.1080/0022250X.1990.9990069
- Friedkin, N. E., & Johnsen, E. C. (2011). Social influence network theory: A sociological examination of small group dynamics (Vol. 33). Cambridge University Press.
- Friedkin, N. E., Proskurnikov, A. V., Tempo, R., & Parsegov, S. E. (2016). Network science on belief system dynamics under logic constraints. Science, 354(6310), 321–326. https://doi.org/10.1126/science.aag2624
- Galam, S. (2004). Contrarian deterministic effects on opinion dynamics: “the hung elections scenario.” Physica A: Statistical Mechanics and Its Applications, 333,(1-4): 453–460. https://doi.org/10.1016/j.physa.2003.10.041
- Gambaro, J. P., & Crokidakis, N. (2017). The influence of contrarians in the dynamics of opinion formation. Physica A: Statistical Mechanics and Its Applications, 486(1): 465–472. https://doi.org/10.1016/j.physa.2017.05.040
- Gómez-Serrano, J., Graham, C., & Jean-Yves, L. B. (2012). The bounded confidence model of opinion dynamics. Mathematical Models and Methods in Applied Sciences, 22(2), 1150007. https://doi.org/10.1142/S0218202511500072
- Gorwa, R., & Guilbeault, D. (2018). Unpacking the social media bot: A typology to guide research and policy. Policy & Internet, 12(2):225–248. D O I: 1 0.1 016/j.physa.2017.05.040
- Hamilton, J., Hogan, B., Lucas, K., & Mayne, R. (2019). Conversations about conservation? Using social network analysis to understand energy practices. Energy Research & Social Science, 49(1): 180–191. https://doi.org/10.1016/j.erss.2018.10.030
- Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. Yale University Press.
- Javarone, M. A. (2014). Social influences in opinion dynamics: The role of conformity. Physica A: Statistical Mechanics and Its Applications, 414(1): 19–30. https://doi.org/10.1016/j.physa.2014.07.018
- Kloeden, P. E., & Platen, E. (2013). Numerical Solution of Stochastic Differential Equations (Vol. 23). Springer Science & Business Media.
- Lanchier, N., & Schweinsberg, J. (2012). Consensus in the two-state Axelrod model. Stochastic Processes and Their Applications, 122(11), 3701–3717. https://doi.org/10.1016/j.spa.2012.06.010
- Lorenz, J. (2007). Continuous opinion dynamics under bounded confidence: A survey. International Journal of Modern Physics C, 18(12), 1819–1838. https://doi.org/10.1142/S0129183107011789
- Magnini, B., Cappelli, A., Pianta, E., Speranza, M., Bartalesi Lenzi, V., Sprugnoli, R., Romano, L., Girardi, C., & Negri, M. (2006a). Annotazione di contenuti concettuali in un corpus italiano: I - CAB. In Emanuela Cresti (Ed.,), Proc.of SILFI. 2006, (pp.1-8). Firenze University Press.
- Magnini, B., Pianta, E., Girardi, C., Negri, M., Romano, L., Speranza, M., Lenzi, V. B., & Sprugnoli, R. (2006b). I - CAB: The italian content annotation bank. In Nicoletta C., Khalid C., Aldo G., Bente M., Joseph M., Jan O., Daniel T (Eds.,), LREC (pp. 963–968). Citeseer.
- Martins, A. C. R. (2008b). Mobility and social network effects on extremist opinions. Physics Rev. E, 78(3), 036104. https://doi.org/10.1103/PhysRevE.78.036104
- Martins, A. C. R. (2008a). Continuous opinions and discrete actions in opinion dynamics problems. International Journal of Modern Physics C, 19(4), 617–624. https://doi.org/10.1142/S0129183108012339
- Mastroeni, L., Vellucci, P., & Naldi, M. (2019). Agent-Based Models for Opinion Formation: A Bibliographic Survey. IEEE Access, 7 1–12. DOI: 10.1109/ACCESS.2019.2913787
- Mobilia, M. (2011). Fixation and polarization in a three-species opinion dynamics model. EPL (Europhysics Letters), 95(5), 50002. https://doi.org/10.1209/0295-5075/95/50002
- Nedić, A., & Touri, B. (2012). “Multi-dimensional hegselmann-krause dynamics.” In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 68–73. IEEE. doi:10.1109/CDC.2012.6426417
- Nyczka, P., & Sznajd-Weron, K. (2013). Anticonformity or Independence?—Insights from Statistical Physics. Journal of Statistical Physics, 151(1), 174–202. https://doi.org/10.1007/s10955-013-0701-4
- Nyczka, P., Sznajd-Weron, K., & Jerzy, C. (2012). Phase transitions in the q -voter model with two types of stochastic driving. Physics Rev. E, 86(1), 011105. https://doi.org/10.1103/PhysRevE.86.011105
- Parsegov, S. E., Proskurnikov, A. V., Tempo, R., & Friedkin, N. E. (2016). Novel multidimensional models of opinion dynamics in social networks. IEEE Transactions on Automatic Control, 62(5), 2270–2285. https://doi.org/10.1109/TAC.2016.2613905
- Porfiri, M., Bollt, E. M., & Stilwell, D. J. (2007). Decline of minorities in stubborn societies. The European Physical Journal. B, 57(4), 481–486. https://doi.org/10.1140/epjb/e2007-00186-3
- Prasetya, H. A., & Murata, T. (2020). A model of opinion and propagation structure polarization in social media. Computational Social Networks, 7(1), 1–35. https://doi.org/10.1186/s40649-019-0076-z
- Rinker, T. W. 2019. Sentimentr: Calculate text polarity sentiment. buffalo, New York. Version 2.7.1, http://github.com/trinker/sentimentr
- Robin, M. (2019). The Greta phenomenon. Esprit, 10(10), 19–22. https://doi.org/10.3917/espri.1910.0019
- Salzarulo, L. (2006). A continuous opinion dynamics model based on the principle of meta-contrast. Journal of Artificial Societies and Social Simulation, 9(1), 1–13. https://www.jasss.org/9/1/13.html
- Török, J., Iñiguez, G., Yasseri, T., Miguel, M. S., Kaski, K., & János, K. (2013). Opinions, conflicts, and consensus: modeling social dynamics in a collaborative environment. Phys. Rev. Lett, 110(8), 088701. https://doi.org/10.1103/PhysRevLett.110.088701
- Tucker, J. A., Theocharis, Y., Roberts, M. E., & Pablo, B. (2017). From liberation to turmoil: Social media and democracy. Journal of Democracy, 28(4), 46–59. https://doi.org/10.1353/jod.2017.0064
- Vazquez, F., Krapivsky, P. L., & Redner, S. (2003). Constrained opinion dynamics: Freezing and slow evolution. Journal of Physics A: Mathematical and General, 36(3), L61–L68. https://doi.org/10.1088/0305-4470/36/3/103
- Vazquez, F., & Redner, S. (2004). Ultimate fate of constrained voters. Journal of Physics A: Mathematical and General, 37(35), 8479–8494. https://doi.org/10.1088/0305-4470/37/35/006
- Weisbuch, G., Deffuant, G., & Amblard, F. (2005). Persuasion dynamics. Physica A: Statistical Mechanics and Its Applications, 353(1): 555–575. https://doi.org/10.1016/j.physa.2005.01.054
- Wijffels, J. 2020. BTM: Biterm Topic Models for short text. R package version 0.3, https://CRAN.R-project.org/package=BTM
- Xiong, F., & Liu, Y. (2014). Opinion formation on social media: An empirical approach. Chaos: An Interdisciplinary Journal of Nonlinear Science, 24(1), 013130. https://doi.org/10.1063/1.4866011
- Yan, X., Guo, J., Lan, Y., & Cheng, X. 2013. “A biterm topic model for short texts.” In Proceedings of the 22nd international conference on world wide web, WWW ’13, vUSA, 1445–1456. Association for Computing Machinery.