LEADER 01155nam a2200265 i 4500 001 991000949129707536 008 050406s2002 sz a b 000 0 eng d 020 $a0817666877 035 $ab13297545-39ule_inst 040 $aDip.to Ingegneria dell'Innovazione$beng 082 00$a515.353 100 1 $aLeFloch, Philippe G.,$d1962-$0622141 245 10$aHyperbolic systems of conservation laws :$bthe theory of classical and nonclassical shock waves /$cPhilippe G. LeFloch 260 $aBasel ;$aBoston ; $aBerlin :$bBirkhäuser Verlag,$cc2002 300 $ax, 294 p. :$bill. ;$c24 cm 440 0$aLectures in mathematics ETH Zürich 504 $aIncludes bibliographical references 650 4$aConservation laws (Mathematics) 650 4$aDifferential equations, Hyperbolic 907 $a.b13297545$b02-04-14$c06-04-05 912 $a991000949129707536 945 $aLE026 515.353 LEF 01.01 2002$g1$i2026000023175$lle026$nProf. Cinnella / Biblioteca$op$pE27.10$q-$rl$s- $t4$u1$v2$w1$x0$y.i14066804$z12-05-05 996 $aHyperbolic systems of conservation laws$91104895 997 $aUNISALENTO 998 $ale026$b06-04-05$cm$da $e-$feng$gsz $h0$i0 LEADER 03674nam 22006135 450 001 9910349507503321 005 20201223223830.0 010 $a3-030-28169-8 024 7 $a10.1007/978-3-030-28169-4 035 $a(CKB)4100000009375048 035 $a(DE-He213)978-3-030-28169-4 035 $a(MiAaPQ)EBC5906281 035 $a(PPN)252519205 035 $a(EXLCZ)994100000009375048 100 $a20190926d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCitation Analysis and Dynamics of Citation Networks /$fby Michael Golosovsky 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 121 p. 53 illus., 52 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x2191-5326 311 $a3-030-28168-X 327 $aChapter1: Introduction -- Chapter2: Complex network of scientific papers -- Chapter3: Stochastic modeling of references and citations -- Chapter4: Citation dynamics of individual papers -model calibration -- Chapter5: Model validation -- Chapter6: Comparison of citation dynamics for different disciplines -- Chapter7: Prediction of citation dynamics of individual papers -- Chapter8: Power-law citation distributions are not scale-free -- Chapter9: Comparison to existing models. 330 $aThis book deals with the science of science by applying network science methods to citation networks and uniquely presents a physics-inspired model of citation dynamics. This stochastic model of citation dynamics is based on a well-known copying or recursive search mechanism. The measurements covered in this text yield parameters of the model and reveal that citation dynamics of scientific papers is not linear, as was previously assumed. This nonlinearity has far-reaching consequences including non-stationary citation distributions, diverging citation trajectories of similar papers, and runaways or "immortal papers" with an infinite citation lifespan. The author shows us that nonlinear stochastic models of citation dynamics can be the basis for a quantitative probabilistic prediction of citation dynamics of individual papers and of the overall journal impact factor. This book appeals to students and researchers from differing subject areas working in network science and bibliometrics. 410 0$aUnderstanding Complex Systems,$x2191-5326 606 $aSociophysics 606 $aEconophysics 606 $aSystem theory 606 $aBig data 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 615 0$aSociophysics. 615 0$aEconophysics. 615 0$aSystem theory. 615 0$aBig data. 615 14$aData-driven Science, Modeling and Theory Building. 615 24$aComplex Systems. 615 24$aBig Data. 615 24$aBig Data/Analytics. 676 $a621 700 $aGolosovsky$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059708 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349507503321 996 $aCitation Analysis and Dynamics of Citation Networks$92507713 997 $aUNINA