| 000 | 03278nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-54289-8 | ||
| 003 | DE-He213 | ||
| 005 | 20220801222101.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170315s2017 sz | s |||| 0|eng d | ||
| 020 |
_a9783319542898 _9978-3-319-54289-8 |
||
| 024 | 7 |
_a10.1007/978-3-319-54289-8 _2doi |
|
| 050 | 4 | _aTK5101-5105.9 | |
| 072 | 7 |
_aTJK _2bicssc |
|
| 072 | 7 |
_aTEC041000 _2bisacsh |
|
| 072 | 7 |
_aTJK _2thema |
|
| 082 | 0 | 4 |
_a621.382 _223 |
| 100 | 1 |
_aEtesami, Seyed Rasoul. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _959612 |
|
| 245 | 1 | 0 |
_aPotential-Based Analysis of Social, Communication, and Distributed Networks _h[electronic resource] / _cby Seyed Rasoul Etesami. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
|
| 300 |
_aXXVII, 172 p. 35 illus., 25 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
|
| 505 | 0 | _aIntroduction -- Notation and Mathematical Preliminaries -- Unbiased Quantized Consensus -- Metropolis Quantized Consensus -- Hegselmann-Krause Opinion Dynamics in Finite Dimensions -- Capacitated Selfish Replication Game -- Diffusion Games Over Social Networks -- Conclusions and Directions for Future Research. | |
| 520 | _aThis work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks. | ||
| 650 | 0 |
_aTelecommunication. _910437 |
|
| 650 | 0 |
_aComputer networks . _931572 |
|
| 650 | 0 |
_aMathematics. _911584 |
|
| 650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
| 650 | 2 | 4 |
_aComputer Communication Networks. _959613 |
| 650 | 2 | 4 |
_aApplications of Mathematics. _931558 |
| 710 | 2 |
_aSpringerLink (Online service) _959614 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319542881 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319542904 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319853642 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 _959615 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-54289-8 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c80379 _d80379 |
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