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Kimmo Kaski | Hang-Hyun Jo | Yohsuke Murase | János Török | János Kertész | K. Kaski | Hang-Hyun Jo | J. Török | Yohsuke Murase | J'anos Kert'esz
[1] Mason A. Porter,et al. Multilayer networks , 2013, J. Complex Networks.
[2] Mason A. Porter,et al. Random walks and diffusion on networks , 2016, ArXiv.
[3] K. Kaski,et al. Modeling the Complex Network of Social Interactions , 2020 .
[4] Dong Zhao,et al. A comparative study of metamodeling methods considering sample quality merits , 2010 .
[5] Mohammad Reza Ghasemi,et al. Comparative studies of metamodeling and AI-Based techniques in damage detection of structures , 2018, Adv. Eng. Softw..
[6] Robin I. M. Dunbar,et al. Social network size in humans , 2003, Human nature.
[7] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[8] Raj Kumar Pan,et al. Emergence of Bursts and Communities in Evolving Weighted Networks , 2011, PloS one.
[9] M E J Newman. Assortative mixing in networks. , 2002, Physical review letters.
[10] G. Gary Wang,et al. Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007, DAC 2006.
[11] Piet Van Mieghem,et al. Epidemic processes in complex networks , 2014, ArXiv.
[12] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[13] Kimmo Kaski,et al. Structural transition in social networks: The role of homophily , 2018, Scientific Reports.
[14] A. Barabasi,et al. Analysis of a large-scale weighted network of one-toone human communication , 2007 .
[15] A. Rbnyi. ON THE EVOLUTION OF RANDOM GRAPHS , 2001 .
[16] Matteo Marsili,et al. The rise and fall of a networked society: a formal model. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[17] Federico Vazquez,et al. Time-scale competition leading to fragmentation and recombination transitions in the coevolution of network and states. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] Itsuki Noda,et al. CARAVAN: a framework for comprehensive simulations on massive parallel machines , 2018, MMAS.
[19] Jari Saramäki,et al. Emergence of communities in weighted networks. , 2007, Physical review letters.
[20] Hiroki Sayama,et al. Introduction to the Modeling and Analysis of Complex Systems , 2015 .
[21] Will Usher,et al. SALib: An open-source Python library for Sensitivity Analysis , 2017, J. Open Source Softw..
[22] D. Shahsavani,et al. Variance-based sensitivity analysis of model outputs using surrogate models , 2011, Environ. Model. Softw..
[23] What Big Data tells: Sampling the social network by communication channels , 2018 .
[24] José F. Fontanari,et al. Diffusion of innovations in Axelrod’s model , 2015, ArXiv.
[25] Paola Annoni,et al. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index , 2010, Comput. Phys. Commun..
[26] Nobuyasu Ito,et al. A tool for parameter-space explorations , 2014, ArXiv.
[27] M. Newman,et al. Mixing patterns in networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] Nobuyasu Ito,et al. An open-source job management framework for parameter-space exploration: OACIS , 2018, ArXiv.
[29] Kimmo Kaski,et al. Multi-layer weighted social network model , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.
[30] S. Redner,et al. Non-monotonicity and divergent time scale in Axelrod model dynamics , 2007 .
[31] Z. Wang,et al. The structure and dynamics of multilayer networks , 2014, Physics Reports.
[32] Jean-Gabriel Young,et al. Networks beyond pairwise interactions: structure and dynamics , 2020, ArXiv.
[33] I. Sobol. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[34] Kimmo Kaski,et al. Modeling the Role of Relationship Fading and Breakup in Social Network Formation , 2015, PloS one.
[35] Eric Bonabeau,et al. Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[36] Mark S. Granovetter. The Strength of Weak Ties , 1973, American Journal of Sociology.
[37] Gueorgi Kossinets,et al. Empirical Analysis of an Evolving Social Network , 2006, Science.
[38] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[39] Yérali Gandica,et al. Cluster size entropy in the Axelrod model of social influence: small-world networks and mass media , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[40] Jari Saramäki,et al. Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.
[41] Maxi San Miguel,et al. Fragmentation transitions in a coevolving nonlinear voter model , 2017, Scientific Reports.
[42] Kimmo Kaski,et al. Stylized facts in social networks: Community-based static modeling , 2016, Physica A: Statistical Mechanics and its Applications.