000 04044nam a22005295i 4500
001 978-1-4020-5030-5
003 DE-He213
005 20251006084517.0
007 cr nn 008mamaa
008 100301s2006 ne | s |||| 0|eng d
020 _a9781402050305
020 _a99781402050305
024 7 _a10.1007/1-4020-5030-5
_2doi
100 1 _aSkjeltorp, Arne T.
_eeditor.
245 1 0 _aDynamics of Complex Interconnected Systems: Networks and Bioprocesses
_h[electronic resource] /
_cedited by Arne T. Skjeltorp, Alexander V. Belushkin.
246 3 _aProceedings of the NATO Advanced Study Institute on Dynamics of Complex Interconnected Biosensor Systems: Networks and Bioprocesses, Geilo, Norway, 11-21 April 2005
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2006.
300 _aXV, 211 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNATO Science Series II, Mathematics, Physics and Chemistry,
_x1568-2609 ;
_v232
505 0 _aSTRUCTURE AND COMMUNICATION IN COMPLEX NETWORKS -- EFFECTS OF COMMUNITY STRUCTURE ON SEARCH AND RANKING IN COMPLEX NETWORKS -- THE SOS RESPONSE OF BACTERIA TO DNA DAMAGE -- SELF-AFFINE SCALING DURING INTERFACIAL CRACK FRONT PROPAGATION -- DIFFUSION, FRAGMENTATION AND MERGING PROCESSES IN ICE CRYSTALS, ALPHA HELICES AND OTHER SYSTEMS -- MOLECULAR MECHANISMS IN BIOSIGNALLING: VISUAL RECEPTION -- THE ARCHITECTURE OF COMPLEXITY: FROM WWW TO CELLULAR METABOLISM -- MATHEMATICAL MODELING OF NEURAL ACTIVITY -- BRAIDED SPACE-TIME PARTICLE NETWORKS -- COMBINING OPTICAL TWEEZERS AND MICROPIPETTES FOR DNA STRETCHING: ELASTICITY OF MICROPIPETTE CRUCIAL -- UNIVERSAL NETWORKS AND PROCESSES IN SOFT AND COMPLEX MATTER: FROM NANO TO MACRO -- WHAT ECONOMISTS SHOULD LEARN FROM ECONOPHYSICS -- THE MINORITY GAME: STATISTICAL PHYSICS OF COLLECTIVE BEHAVIOUR OF ADAPTIVE AGENTS IN A COMPETITIVE MARKET.
520 _aThe book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. This means that the detailed knowledge of the components is insufficient to describe the whole system. Recent work has indicated that networks in nature have so-called scale-free characteristics, and the associated dynamic network modelling shows unexpected results such as an amazing robustness against accidental failures. Modelling the signal transduction networks in bioprocesses as in living cells is a challenging interdisciplinary research area. It is now realized that the many features of molecular interaction networks within a cell are shared to a large degree by the other complex systems mentioned above, such as the Internet, computer chips and society. Thus knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.
650 0 _aPHYSICS.
650 0 _aSOFT CONDENSED MATTER.
650 0 _aBIOMEDICAL ENGINEERING.
650 0 _aENGINEERING.
650 0 _aSOCIAL SCIENCES.
650 0 _aBIOMATERIALS.
650 1 4 _aPHYSICS.
650 2 4 _aCOMPLEXITY.
650 2 4 _aSOFT MATTER, COMPLEX FLUIDS.
650 2 4 _aBIOPHYSICS/BIOMEDICAL PHYSICS.
650 2 4 _aBIOMATERIALS.
650 2 4 _aSOCIAL SCIENCES, GENERAL.
700 1 _aBelushkin, Alexander V.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781402050282
830 0 _aNATO Science Series II, Mathematics, Physics and Chemistry,
_x1568-2609 ;
_v232
856 4 0 _uhttp://dx.doi.org/10.1007/1-4020-5030-5
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-PHA
942 _2ddc
_cER
999 _c61104
_d61104