000 | 03334cam a2200517Ii 4500 | ||
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001 | u11054 | ||
003 | SA-PMU | ||
005 | 20210418123159.0 | ||
008 | 140829s2015 maua b 000 0 eng d | ||
040 |
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_a016940983 _2Uk |
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016 | 7 |
_a016914961 _2Uk |
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019 | _a889738675 | ||
020 | _a0128008911 | ||
020 | _a9780128008911 | ||
035 |
_a(OCoLC)889647345 _z(OCoLC)889738675 |
||
050 | 4 |
_aTK5105.59 _b.H47 2015 |
|
100 | 1 |
_aHexmoor, Henry, _d1960- _eauthor. |
|
245 | 1 | 0 |
_aComputational network science : _ban algorithmic approach / _cHenry Hexmoor. |
264 | 1 |
_aWaltham : _bMorgan Kaufmann Publisher, _c[2015] |
|
264 | 4 | _c©2015. | |
300 |
_ax, 118 pages : _billustrations ; _c23 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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490 | 1 | _aComputer science reviews and trends | |
500 | _a"Networking communications." -- cover. | ||
504 | _aIncludes bibliographical references. | ||
505 | 0 | _a1. Ubiquity of networks -- 2. Network analysis -- 3. Network games -- 4. Balance theory -- 5. Network dynamics -- 6. Diffusion and contagion -- 7. Influence diffusion and contagion -- 8. Power in exchange networks -- 9. Economic networks -- 10. Network capital -- 11. Network organizations -- 12. Emerging trends. | |
520 | 3 | _aThe emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline.Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research. Network researchers and graduate students; professionals in computational disciplines; researchers in most scientific, social, and cross-disciplinary fields. | |
650 | 0 |
_aComputer networks _xSecurity measures. |
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650 | 0 | _aComputer security. | |
650 | 0 |
_aInternet _xSecurity measures. |
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650 | 7 |
_aComputer networks _xSecurity measures. _2fast _0(OCoLC)fst00872341 |
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650 | 7 |
_aComputer security. _2fast _0(OCoLC)fst00872484 |
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650 | 7 |
_aInternet _xSecurity measures. _2fast _0(OCoLC)fst01751426 |
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830 | 0 | _aComputer science reviews and trends. | |
938 |
_aYBP Library Services _bYANK _n12046410 |
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938 |
_aBaker and Taylor _bBTCP _nBK0015590390 |
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942 | _cBOOK | ||
994 |
_aZ0 _bSUPMU |
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948 | _hNO HOLDINGS IN SUPMU - 14 OTHER HOLDINGS | ||
596 | _a1 2 | ||
999 |
_c1923 _d1923 |