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BY SUBJECT:
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| CV++ |
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| Conference Talks CS |
| Cellular Automata |
| Barkhausen Noise |
| Self-Assembled Nano-Materials |
| Multi-Brain Networks |
| Epidemics: Modeling SARS-CoV-2 |
| Agent-Based Models & Sociodynamics |
| Complex Networks |
| Renormalization Group |
| Orientational Glasses |
| Quantum SpinGlasses |
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Review Articles & Book Chapters
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| B. Tadic, G.J. Rodgers and S. Thurner Transport on Complex Networks: Flow, Jamming & Optimization, Int. J. Bifurcation and Chaos, Vol. 17, Issue 7, July 2007 |
| B. Tadic, From Microscopic Rules to Emergent Cooperativity in Large-Scale Patterns, Chapter in Book Systems Self-Assembly: Multidisciplinary Snapshots , Eds. N. Krasnogor et al., Elsevier, publ. March 2008: Link to publisher's page here... |
| M.O. Blunt, A. Stannard, E. Pauliac-Vaujour, C.P. Martin, I. Vancea, M. Suvakov, U. Thiele, B. Tadic and P. Moriarty, Patterns and Pathways in Nanoparticle Selforganization, Chapter 8 in Oxford Handbook of Nanoscience and Technology, Volume 1: Basic Aspects, Eds. A.V. Narlikar and Y.Y. Wu, Oxford University Press, ISBN 978-0-19-953304-6 |
| M. Suvakov and B. Tadic, Modeling collective charge transport in nanoparticle assemblies, TOPICAL REVIEW, J. Physics: Condensed Matter, Vol. 22, No. 16 (2010) |
| M.Mitrovic and B. Tadic, Emergence and Structure of Cybercommunities, Chapter in Handbook of Optimization in Complex Networks Theory and Applications , Eds. M.T. Thai and P. Pardalos, Springer "Optimization and its Applications" , Vol.57, Part 2, pp. 209--227, DOI:10.1007/978-1-4614-0754-6_8 , January 2012, ISBN 978-0-19-953304-6 |
| B. Tadic recent-Abstracts15-book |
| B. Tadic, R. Melnik ABM -Epidemics: medRxiv 2020 |
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RESTRICTED:
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Description:
Complex patterns of links (Networks), Domain Walls,
or assemblies of Nanoscale objects emerge in non-equilibrium
dynamic processes with Driving, Constraints,
and Self- Organization. We explore how such complex patterns have evolved in nature and in man made techno-social systems
or can be assembled in laboratory into organized functional structures, and how the structural complexity affects their physical properties and function.
Agent-Based Modelling of SARS-Cov-2 Epidemics---
Genesis of the epidemics outbreak across the scales from individual behaviour of
the actors and virus mutations, driven by the social participation
activity.
B. Tadic, R. Melnik,
Modeling latent infection transmissions through biosocial stochastic
dynamics, medRxiv:doi: https://doi.org/10.1101/2020.07.30.20164491
(2020) AND Microscopic dynamics modeling unravels the role of asymptomatic virus carriers in SARS-CoV-2 epidemics at the interplay between biological and social factors , preprint available
on
medRxiv
doi:https://doi.org/10.1101/2021.02.01.21250926 ; Published in
Computers in Biology and Medicine 133: 104422 (2021)
Higher-Order Connectivity of Brain
Graphs---Simplicial Complexes structure of human brain,
studied from the empirical data of Human Connectome Project and
Social Neuroscience hyperscanning data.
M. Andjelkovic, B. Tadic, R. Melnik,
The topology of higher-order complexes associated with brain hubs in
human connectomes, Scientific Reports 10:17320 (2020)
Bottom-up Architecture of Simplicial Complexes---Modelling self-assembly of complex nano-networks by aggregation of simplexes; Simulations of the field-driven magnetisation reversal processes on them.
B. Tadic, M. Suvakov, M. Andjelkovic, G.J. Rodgers,
Large-scale influence of defect bonds in geometrically constrained
self-assembly,
Physical Review E 102:032307 (2020); Magnetisation processes in
geometrically frustrated spin networks with self-assembled cliques,
Entropy 22(3):336 (2020)
Research Fields: Network ResearchHighlights ONLINE SOCIAL DYNAMICS(see our publications in CYBEREMOTIONS Project update...) ☆ |
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