000916174 000__ 02627cam\a2200457Ii\4500
000916174 001__ 916174
000916174 005__ 20230306150528.0
000916174 006__ m\\\\\o\\d\\\\\\\\
000916174 007__ cr\nn\nnnunnun
000916174 008__ 191031s2019\\\\sz\a\\\\o\\\\\001\0\eng\d
000916174 019__ $$a1127266943$$a1127981296$$a1128808729
000916174 020__ $$a9783030234959$$q(electronic book)
000916174 020__ $$a3030234959$$q(electronic book)
000916174 020__ $$z9783030234942
000916174 0248_ $$a10.1007/978-3-030-23
000916174 035__ $$aSP(OCoLC)on1125993704
000916174 035__ $$aSP(OCoLC)1125993704$$z(OCoLC)1127266943$$z(OCoLC)1127981296$$z(OCoLC)1128808729
000916174 040__ $$aLQU$$beng$$erda$$cLQU$$dGW5XE$$dNOC$$dEBLCP
000916174 049__ $$aISEA
000916174 050_4 $$aQA402
000916174 08204 $$a621
000916174 24500 $$aTemporal network theory /$$cedited by Petter Holme, Jari Saramäki.
000916174 264_1 $$aCham :$$bSpringer,$$c2019.
000916174 300__ $$a1 online resource (viii, 375 pages) :$$billustrations.
000916174 336__ $$atext$$btxt$$2rdacontent
000916174 337__ $$acomputer$$bc$$2rdamedia
000916174 338__ $$aonline resource$$bcr$$2rdacarrier
000916174 4901_ $$aComputational Social Sciences
000916174 500__ $$aIncludes index.
000916174 5050_ $$aModeling Frameworks and Tools -- Measures of Temporal Network Structure -- Mesoscopic Structures -- Epidemic Spreading -- Other Dynamic Processes.
000916174 506__ $$aAccess limited to authorized users.
000916174 520__ $$aThis book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.
000916174 650_0 $$aSystem analysis.
000916174 650_0 $$aComputational complexity.
000916174 7001_ $$aHolme, Petter.
000916174 7001_ $$aSaramäki, Jari.
000916174 830_0 $$aComputational social sciences.
000916174 852__ $$bebk
000916174 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-23495-9$$zOnline Access$$91397441.1
000916174 909CO $$ooai:library.usi.edu:916174$$pGLOBAL_SET
000916174 980__ $$aEBOOK
000916174 980__ $$aBIB
000916174 982__ $$aEbook
000916174 983__ $$aOnline
000916174 994__ $$a92$$bISE