References
Arenas, A., Díaz-Guilera, A., Kurths, J., Moreno, Y., Zhou, C.: Synchronization in complex networks. Physics Reports. 469, 93-153 (2008). https://doi.org/https://doi.org/10.1016/j.physrep.2008.09.002 Barrat, A., Barthélemy, M., Vespignani, A.: Dynamical Processes on Complex Networks. Cambridge University Press (2008). Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.-U.: Complex networks: Structure and dynamics. Physics Reports. 424, 175-308 (2006). https://doi.org/https://doi.org/10.1016/j.physrep.2005.10.009Ahmed J. and Ahamed S. (2014), “Seismic Vulnerability of RC Buildings by Considering Plan Irregularities Using Pushover Analysis”, Global journal for research analysis, 3, 2014, 42-47. Chen, G., Wang, X., Li, X.: Fundamentals of Complex Networks: Models, Structures and Dynamics. Willey (2015) Dhamo X, Kalluçi E, Dray G, et al (2024a) Global Synchronization Measure Applied to Brain Signals Data. In: Studies in Computational Intelligence. Springer, France Dhamo X, Kalluçi E, Noka E, et al (2024b) Synchronization processes in fNIRS visibility networks. Applied Network Science 9:. https://doi.org/https://doi.org/10.1007/s41109- 024-00663-x Estrada, E., Knight, P.A.: A First Course in Network Theory. Oxford University Press (2025) Halvin, S., Kenett, D.Y., Ben-Jacob, E., Bunde, A., Cohen, R., Hermann, H., Kantelhardt, J.W., Kertész, J., Kirkpatrick, S., Kurths, J., Portugali, J., Solomon, S.: Challenges in network science: Applications to infrastructures, climate, social systems and economics. The European Physical Journal Special Topics. 273-293 (2012). https://doi.org/https://doi.org/10.1140/epjst/e2012-01695-x Lacasa, L., Luque, B., Ballesteros, F., Luque, J., Nuño, J.C.: From time series to complex networks: The visibility graph. Applied Mathematics. 105, 4972-4975 (2008). https://doi.org/https://doi.org/10.1073/pnas.0709247105 Lacasa, L., Luque, B., Luque, J., Nuño, J.C.: The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion. Europhysics Letters. 86, (2009). https://doi.org/10.1209/0295-5075/86/30001 Lacasa, L., Nicosia, V., Latora, V.: Network structure of multivariate time series. Scientific Reports. 5, (2015). https://doi.org/https://doi. org/10.1038/srep15508 Lacasa, L., Nuñez, A., Roldán, É., Parrondo, J.M.R., Luque, B.: Time series irreversibility: a visibility graph approach. The European Physical Journal B. 85, (2012). https://doi.org/https://doi.org/10.1140/epjb/e2012-20809-8 Li, R., Mayseless, N., Balters, S., Reiss, A.L.: Dynamic inter-brain synchrony in real-life inter- personal cooperation: A functional near-infrared spectroscopy hyperscanning study. NeuroImage. 238, (2021). https://doi.org/https://doi.org/10.1016/j.neuroimage.2021.118263 Luque B, Lacasa L, Ballesteros F, Luque J (2009) Horizontal visibility graphs: Exact results for random time series. Physical Review E 80:. https://doi.org/https://doi.org/10.1103/PhysRevE.80.046103 Mira- Iglesias, A., Conejero, J.A., Navarro-Pardo, E.: Natural visibility graphs for diagnosing attention deficit hyperactivity disorder (ADHD). Electronic Notes in Discrete Mathematics. 54, 337-342 (2016). https://doi.org/https://doi.org/10.1016/j.endm.2016.09.058 Newman, M.: Networks. Oxford University Press (2018) M.E.J. Newman, Modularity and community structure in networks, Proc. Natl. Acad. Sci. U.S.A. 103 (23) 8577-8582, https://doi.org/10.1073/pnas.0601602103 (2006). Sannino, S., Stramaglia, S., Lacasa, L., Marinazzo, D.: Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks. Network Neuroscience. 1, 208-221 (2017). https://doi.org/https://doi.org/10.1162/NETN_a_00012 Wang, X., Zhang, Y., He, Y., Lu, K., Hao, N.: Dynamic Inter-Brain Networks Correspond with Specific Communication Behaviors: Using Functional Near-Infrared Spectroscopy Hyperscanning During Creative and Non-creative Communication. Frontiers in Human Neuroscience. 16, (2022). https://doi.org/https://doi.org/10.3389/fnhum.2022.907332