000 | 03005nam a22005297a 4500 | ||
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001 | sulb-eb0024724 | ||
003 | BD-SySUS | ||
005 | 20160413122453.0 | ||
007 | cr nn 008mamaa | ||
008 | 130523s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642364617 _9978-3-642-36461-7 |
||
024 | 7 |
_a10.1007/978-3-642-36461-7 _2doi |
|
050 | 4 | _aQC1-QC999 | |
072 | 7 |
_aPHU _2bicssc |
|
072 | 7 |
_aPBKD _2bicssc |
|
072 | 7 |
_aSCI064000 _2bisacsh |
|
082 | 0 | 4 |
_a621 _223 |
245 | 1 | 0 |
_aTemporal Networks _h[electronic resource] / _cedited by Petter Holme, Jari Saramäki. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aVIII, 352 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aUnderstanding Complex Systems, _x1860-0832 |
|
505 | 0 | _aMetrics and Measures -- Time Scales -- Temporal Networks of Human Interactions -- Spreading Dynamics -- Models. | |
520 | _aThe concept of temporal networks is an extension of complex networks as a modeling framework to include information on when interactions between nodes happen. Many studies of the last decade examine how the static network structure affect dynamic systems on the network. In this traditional approach the temporal aspects are pre-encoded in the dynamic system model. Temporal-network methods, on the other hand, lift the temporal information from the level of system dynamics to the mathematical representation of the contact network itself. This framework becomes particularly useful for cases where there is a lot of structure and heterogeneity both in the timings of interaction events and the network topology. The advantage compared to common static network approaches is the ability to design more accurate models in order to explain and predict large-scale dynamic phenomena (such as, e.g., epidemic outbreaks and other spreading phenomena). On the other hand, temporal network methods are mathematically and conceptually more challenging. This book is intended as a first introduction and state-of-the art overview of this rapidly emerging field. | ||
650 | 0 | _aPhysics. | |
650 | 0 | _aMathematics. | |
650 | 0 | _aSocial sciences. | |
650 | 0 | _aComplexity, Computational. | |
650 | 1 | 4 | _aPhysics. |
650 | 2 | 4 | _aComplex Networks. |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aMathematics in the Humanities and Social Sciences. |
650 | 2 | 4 | _aMethodology of the Social Sciences. |
700 | 1 |
_aHolme, Petter. _eeditor. |
|
700 | 1 |
_aSaramäki, Jari. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642364600 |
830 | 0 |
_aUnderstanding Complex Systems, _x1860-0832 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-36461-7 |
912 | _aZDB-2-PHA | ||
942 |
_2Dewey Decimal Classification _ceBooks |
||
999 |
_c46816 _d46816 |