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The evolution of genetic networks by non-adaptive processes. Genomics, gene expression and DNA arrays. In the dynamic force spectroscopy of biomolecular interactions. Network theory approach for data evaluation Journal of Statistical Mechanics: Theory and Experiment, P02005 (2011).

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Quantitative analysis of bloggers’ collective behavior powered by emotions.

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Computational social science: Making the links. Models and methods in social network analysis. An introduction to econophysics: correlations and complexity in finance. A Wiley Interscience Publication, Hoboken, Network Flows: Theory, Algorithms and Applications. Complex networks: Structure and dynamics. Chain motifs: The tails and handles ofĬomplex networks. Modern Challenges of Science, Technology and Society. Advances in Mathematical and Computational Methods: Addressing Theory and Evaluation of Single-Molecule Signals. In multidisciplinarity, Elsevier, Amsterdam, pp. From microscopic rules to emergent cooperativity in large-scale patterns, in "Systems self-assembly: Moriarty.Ĭoerced mechanical coarsening of nanoparticle assemblies. Slef-assembly of inorganic nanocrystals: Fabrication and collective intrinsic properties. Colloidal nanocrystal synthesis and the organic-inorganic interface. Frontiers of Multifunctional Integrated Nanosystems. Programming the assembly of two- and three-dimensional architectures with DNA and nanoscale Nanoparticles into structured spherical and network aggregates. LA - eng KW - Conducting nanoparticle films Genetic networks of yeast Single-molecule force spectroscipy data Graph theory Network community detection Bionanosystems Viral RNA Cell Complex systems conducting nanoparticle films genetic networks of yeast single-molecule force spectroscipy data graph theory network community detection bionanosystems viral RNA cell complex systems UR - ER. The graph-theory analysis of these systems reveals their organizational principles, quantifies the relation between the function of nanostructured materials and their architecture, and helps understand the character of fluctuations at nanoscale. To demonstrate the potentials of this modeling approach for quantitative study of complexity at nanoscale, in this survey, we consider three kinds of nanonetworks: Genes of a yeast are connected by weighted links corresponding to their coexpression along the cell cycle Gold nanoparticles, arranged on a substrate, are linked via quantum tunneling junctions which enable single-electron conduction A network of similar profiles of force–distance curves consists of sequences of states of a molecular complex from HIV–1 virus observed in repeated single-molecule force spectroscopy experiments. TY - JOUR AU - Jelena Živkovic AU - Bosiljka Tadic TI - Nanonetworks: The graph theory framework for modeling nanoscale systems JO - Nanoscale Systems: Mathematical Modeling, Theory and Applications PY - 2013 VL - 2 SP - 30 EP - 48 AB - Nanonetwork is defined as a mathematical model of nanosize objects with biological, physical and chemical attributes, which are interconnected within certain dynamical process. Nanonetwork is defined as a mathematical model of nanosize objects with biological, physical and chemical attributes, which are interconnected within certain dynamical process. Nanoscale Systems: Mathematical Modeling, Theory and Applications Nanonetworks: The graph theory framework for modeling nanoscale systems














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