000 | 01237nam a22001817a 4500 | ||
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005 | 20250527150452.0 | ||
008 | 250527b2022 |||||||| |||| 00| 0 eng d | ||
020 | _a9781009168083 | ||
082 | _a519.2 GRO-B | ||
100 | _aGross, Bnaya | ||
245 |
_aPercolation in spatial networks : _bspatial network models beyond nearest-neighbours structures / _cBnaya Gross and Shlomo Havlin |
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260 |
_aUnited Kingdom _bCambridge University Press _c2022 |
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300 | _a40 p. | ||
500 | _aPercolation theory is a well studied process utilized by networks theory to understand the resilience of networks under random or targeted attacks. Despite their importance, spatial networks have been less studied under the percolation process compared to the extensively studied non-spatial networks. In this Element, the authors will discuss the developments and challenges in the study of percolation in spatial networks ranging from the classical nearest neighbors lattice structures, through more generalized spatial structures such as networks with a distribution of edge lengths or community structure, and up to spatial networks of networks. . | ||
650 | _aPercolation | ||
650 | _aPercolation (Statistical physics) | ||
700 | _aHavlin, Shlomo | ||
999 |
_c93515 _d93515 |