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008 140829s2015 maua b 000 0 eng d
040 _aYDXCP
_beng
_erda
_cYDXCP
_dUKMGB
_dOCLCQ
_dCOO
_dOCLCO
_dMUU
_dBTCTA
_dOCLCF
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015 _aGBB4C7875
_2bnb
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016 7 _a016940983
_2Uk
016 7 _a016914961
_2Uk
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
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
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.
650 0 _aComputer security.
650 0 _aInternet
_xSecurity measures.
650 7 _aComputer networks
_xSecurity measures.
_2fast
_0(OCoLC)fst00872341
650 7 _aComputer security.
_2fast
_0(OCoLC)fst00872484
650 7 _aInternet
_xSecurity measures.
_2fast
_0(OCoLC)fst01751426
830 0 _aComputer science reviews and trends.
938 _aYBP Library Services
_bYANK
_n12046410
938 _aBaker and Taylor
_bBTCP
_nBK0015590390
942 _cBOOK
994 _aZ0
_bSUPMU
948 _hNO HOLDINGS IN SUPMU - 14 OTHER HOLDINGS
596 _a1 2
999 _c1923
_d1923