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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319159164
_9978-3-319-15916-4
024 7 _a10.1007/978-3-319-15916-4
_2doi
035 _ato000559133
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aPropagation Phenomena in Real World Networks
_helectronic resource
_cedited by Dariusz Król, Damien Fay, Bogdan Gabryś.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVIII, 364 p. 97 illus., 32 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v85
505 0 _aEpidemic Models: their Spread, Analysis and Invasions in Scale-Free Networks -- Information Propagation in a Social Network: The Case of a Fish Schooling Algorithm -- Models for Trust Inference in Social Networks.-Assessing the role of network effects in propagation phenomena in real world networks -- Resource Constrained Randomized Coverage Strategies for Unstructured Networks -- Petri Net-Based Modelling and Simulation of Transport Network Segments -- Bio-inspired Routing Strategies for Wireless Sensor Networks -- Analysis of Peer-to-Peer Botnet Attacks and Defenses -- Generating Robust and Efficient Networks Under Targeted Attacks -- Cancer - a Story on Fault Propagation in Gene-Cellular Networks -- Propagation Models and Analysis for Mobile Phone Data Analytics -- Information Propagation in Social Networks during Crises: A structural Framework -- Simulations of Financial Contagion in Interbank Networks: Some Methodological Issues -- Maximizing Social Influence in Real-World Networks - the State of the Art and Current Challenges.
520 _a“Propagation, which looks at spreading in complex networks, can be seen from many viewpoints; it is undesirable, or desirable, controllable, the mechanisms generating that propagation can be the topic of interest, but in the end all depends on the setting. This book covers leading research on a wide spectrum of propagation phenomenon and the techniques currently used in its modelling, prediction, analysis and control. Fourteen papers range over topics including epidemic models, models for trust inference, coverage strategies for networks, vehicle flow propagation, bio-inspired routing algorithms, P2P botnet attacks and defences, fault propagation in gene-cellular networks, malware propagation for mobile networks, information propagation in crisis situations, financial contagion in interbank networks, and finally how to maximize the spread of influence in social networks. The compendium will be of interest to researchers, those working in social networking, communications and finance and is aimed at providing a base point for further studies on current research. Above all, by bringing together research from such diverse fields, the book seeks to cross-pollinate ideas, and give the reader a glimpse of the breath of current research.”.
650 0 _aengineering.
_9224332
650 0 _aArtificial intelligence.
_9274099
650 0 _aComputational Intelligence.
_9307538
650 1 4 _aEngineering.
_9224332
650 2 4 _aComputational Intelligence.
_9307538
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
700 1 _aKról, Dariusz.
_eeditor.
_9465418
700 1 _aFay, Damien.
_eeditor.
_9465419
700 1 _aGabryś, Bogdan.
_eeditor.
_9317435
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aIntelligent Systems Reference Library,
_9447053
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-15916-4
912 _aZDB-2-ENG
999 _c413875