 |
| Home | Research | Students | Projects | MyWorkshops | Editor | Teaching | Jobs | inBooks |
| NETWORKS | NETs_GALLERY | NANOSCALE_SYSTEMS | SOLSTICE2014_Conference |
|
BY SUBJECT:
|
| CV++ |
| Publications/bySubject |
| Conference Talks CS |
| Cellular Automata |
| Barkhausen Noise |
| Self-Assembled Nano-Materials |
| Multi-Brain Networks |
| Agent-Based Models & Sociodynamics |
| Complex Networks |
| Renormalization Group |
| Orientational Glasses |
| Quantum SpinGlasses |
 |
|
Review Articles & Book Chapters
|
| 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 |
|
|
|
RESTRICTED:
|
| Music |
| PhotoGraphic |
| COST_MP0801 WebPage |
|
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.
PDF
☆
Multifractal Structure of Barkhausen Noise reveals the
dynamic nature of criticality at hysteresis loop, read in JSTAT 2016
☆
Dynamics of Knowledge Creation read more in Sci.Rep.
http://www.nature.com/srep/2015/150715/srep12197/full/srep12197.html
☆
The Structure of Collective Knowledge can be studied from Q&A processes, read more in PLOS One 2016
☆
Multi-Brain Graphs: Topology Measure of Coordination, read more in PLOS One 2016 OpenAccess
☆
BOOK CHAPTER "Modeling Web users as agents with reason and sentiment" appeared in
Advances in Computational Modeling Research, A. Belya, Ed., Novapublishing, NY
ONLINE SOCIAL DYNAMICS(see also our results in CYBEREMOTIONS Project update...)
☆
MODELING NANOSYSTEMS: NATURE OF FLUCTUATIONS AT NANOSCALE
J. Zivkovic, B. Tadic: , Nanoscale systems MMTA Nanonetworks: The graph theory framework for modeling nanoscale systems
B. Tadic, M. Andjelkovic, M. Suvakov: The influence of architecture on collective charge transport in
nanoparticle assemblies revealed by the fractal time series and topology of
phase space manifolds
Research Fields: Network ResearchHighlights |