LEADER 02402cam a2200373 i 4500 001 991003612759707536 008 190226t20162016enkad b 001 0 eng d 020 $a1107076269 020 $a9781107076266 035 $ab14360056-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a004.6$223 084 $aAMS 68M10 084 $aLC TK5105.5.B373 100 1 $aBarabási, Albert-László$0348243 245 10$aNetwork science /$cAlbert-László Barabási, with Márton Pósfai, data analysis and simulations 264 1$aCambridge, United Kingdom :$bCambridge University Press,$c2016 264 4$c©2016 300 $axviii, 456 pages :$billustrations (chiefly color), color charts ;$c25 cm 336 $atext$btxt$2rdacontent 337 $aunmediated$bn$2rdamedia 338 $avolume$bnc$2rdacarrier 504 $aIncludes bibliographical references and index 505 0 $aIntroduction -- Graph theory -- Random networks -- The scale-free property -- The Barabási--Albert model -- Evolving networks -- Degree correlation -- Network robustness -- Communities -- Spreading phenomena 520 $a"Networks are everywhere, from the Internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material"-- Page 4 of cover 650 0$aComputer networks 650 0$aInformation networks 700 1 $aPósfai, Márton$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0785861 907 $a.b14360056$b15-03-19$c26-02-19 912 $a991003612759707536 945 $aLE013 68M BAR11 (2016)$g1$i2013000229942$lle013$op$pE46.10$q-$rl$s- $t0$u0$v0$w0$x0$y.i15883334$z15-03-19 996 $aNetwork science$91749676 997 $aUNISALENTO 998 $ale013$b26-02-19$cm$da $e-$feng$genk$h0$i0