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1.

図書

図書
Benjamin S. Blanchard, Wolter J. Fabrycky
出版情報: Upper Saddle River, N.J. : Pearson/Prentice Hall, c2011  xii, 786 p. ; 24 cm
シリーズ名: Prentice-Hall international series in industrial and systems engineering
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2.

図書

図書
Sergey N. Dorogovtsev
出版情報: Oxford ; New York : Oxford University Press, 2010  ix, 134 p. ; 25 cm
シリーズ名: Oxford master series in physics ; 20
Oxford master series in statistical, computational, and theoretical physics
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目次情報: 続きを見る
First steps towards networks / 1:
Euler's graph / 1.1:
Examples of graphs / 1.2:
Shortest path length / 1.3:
Lattices and fractals / 1.4:
Milgram's experiment / 1.5:
Directed networks / 1.6:
What are random networks? / 1.7:
Degree distribution / 1.8:
Clustering / 1.9:
Adjacency matrix / 1.10:
Classical random graphs / 2:
Two classical models / 2.1:
Loops in classical random graphs / 2.2:
Diameter of classical random graphs / 2.3:
The birth of a giant component / 2.4:
Finite components / 2.5:
Small and large worlds / 3:
The world of Paul Erdos / 3.1:
Diameter of the Web / 3.2:
Small-world networks / 3.3:
Equilibrium versus growing trees / 3.4:
Giant connected component at birth is fractal / 3.5:
Dimensionality of a brush / 3.6:
From the Internet to cellular nets / 4:
Levels of the Internet / 4.1:
The WWW / 4.2:
Cellular networks / 4.3:
Co-occurrence networks / 4.4:
Uncorrelated networks / 5:
The configuration model / 5.1:
Hidden variables / 5.2:
Neighbour degree distribution / 5.3:
Loops in uncorrelated networks / 5.4:
Statistics of shortest paths / 5.5:
Uncorrelated bipartite networks / 5.6:
Percolation and epidemics / 6:
Connected components in uncorrelated networks / 6.1:
Ultra-resilience phenomenon / 6.2:
Finite-size effects / 6.3:
k-cores / 6.4:
Epidemics in networks / 6.5:
Self-organization of networks / 7:
Random recursive trees / 7.1:
The Barabási-Albert model / 7.2:
General preferential attachment / 7.3:
Condensation phenomena / 7.4:
Accelerated growth / 7.5:
The BKT transition / 7.6:
Deterministic graphs / 7.7:
Correlations in networks / 8:
Degree-degree correlations / 8.1:
How to measure correlations / 8.2:
Assortative and disassortative mixing / 8.3:
Why are networks correlated? / 8.4:
Degree correlations and clustering / 8.5:
Weighted networks / 9:
The strength of weak ties / 9.1:
World-wide airport network / 9.2:
Modelling weighted networks / 9.3:
Motifs, cliques, communities / 10:
Cliques in networks / 10.1:
Statistics of motifs / 10.2:
Modularity / 10.3:
Detecting communities / 10.4:
Hierarchical architectures / 10.5:
Navigation and search / 11:
Random walks on networks / 11.1:
Biased random walks / 11.2:
Kleinberg's problem / 11.3:
Navigability / 11.4:
Google PageRank / 11.5:
Traffic / 12:
Traffic in the Internet / 12.1:
Congestion / 12.2:
Cascading failures / 12.3:
Interacting systems on networks / 13:
The Ising model on networks / 13.1:
Critical phenomena / 13.2:
Synchronization / 13.3:
Games on networks / 13.4:
Avalanches as branching processes / 13.5:
Optimization / 14:
Critique of preferential attachment / 14.1:
Optimized trade-offs / 14.2:
The power of choice / 14.3:
Outlook / 15:
Further reading
References
Index
From the Internet to cellular networks
First steps towards networks / 1:
Euler's graph / 1.1:
Examples of graphs / 1.2:
3.

図書

図書
Jeffrey A. Hoffer, Joey F. George, Joseph S. Valacich
出版情報: Boston ; Tokyo : Pearson, c2014  xxvi, 526 p. ; 29 cm.
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4.

図書

図書
Vladimir L. Boginski ... [et al.], editors
出版情報: New York : Springer, c2012  x, 242 p. ; 25 cm
シリーズ名: Springer optimization and its applications ; v. 61
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5.

図書

図書
Nicolae Lobontiu
出版情報: London : Academic Press, c2018  xxiii, 759 p. ; 24 cm
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6.

図書

図書
Slobodan P. Simonović
出版情報: Hoboken, N.J. : Wiley, c2011  xxxiv, 308 p. ; 25 cm.
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目次情報: 続きを見る
List of Figures and Tables
About the Author
Foreword
Preface
List of Acronyms and Abbreviations
Management of Disasters / I:
Introduction / 1:
Issues in Management of Disasters-Personal Experience / 1.1:
Red River Flooding / 1.1.1:
"Red River Flood of the Century," Manitoba, Canada / 1.1.2:
Tools for Management of Disasters-Two New Paradigms / 1.2:
The Complexity Paradigm / 1.2.1:
The Uncertainty Paradigm / 1.2.2:
Conclusions / 1.3:
References
Exercises
Integrated Disaster Management / 2:
Definition / 2.1:
Integrated Disaster Management Activities / 2.2:
Mitigation / 2.2.1:
Preparedness / 2.2.2:
Response / 2.2.3:
Recovery / 2.2.4:
Disaster Management in Canada-Brief Overview / 2.3:
Emergency Management Act / 2.3.1:
National Disaster Mitigation Strategy / 2.3.2:
Joint Emergency Preparedness Program / 2.3.3:
Emergency Response / 2.3.4:
The Role of Federal Government in Disaster Recovery / 2.3.5:
Decision Making and Integrated Disaster Management / 2.4:
Individual Decision Making / 2.4.1:
Decision Making in Organizations / 2.4.2:
Decision Making in Government / 2.4.3:
Systems View of Integrated Disaster Management / 2.5:
Systems Analaysis for Integrated Management of Disasters / II:
Systems Thinking and Integrated Disaster Management / 3:
System Definitions / 3.1:
What is a System? / 3.1.1:
Systems Thinking / 3.1.2:
Systems Analysis / 3.1.3:
The Systems Approach / 3.1.4:
Systems "Engineering" / 3.1.5:
Feedback / 3.1.6:
Mathematical Modeling / 3.1.7:
A Classification of Systems / 3.1.8:
A Classification of Mathematical Models / 3.1.9:
A Systems Typology in Integrated Disaster Management / 3.2:
Systems View of Disaster Management / 3.2.2:
Systems View of Disaster Management Activities / 3.2.3:
Systems Formulation Examples / 3.3:
Dynamics of Epidemics / 3.3.1:
Shortest Supply Route / 3.3.2:
Resources Allocation / 3.3.3:
Introduction to Methods and Tools for a Systems Approach to Management of Disaster / 4:
Simulation / 4.1:
System Dynamics Simulation / 4.2:
Optimization / 4.3:
Multiobjective Analysis / 4.4:
Disaster Risk Management / 4.5:
Sources of Uncertainty / 4.5.1:
Conceptual Risk Definitions / 4.5.2:
Probabilistic Approach / 4.5.3:
A Fuzzy Set Approach / 4.5.4:
Computer Support: Decision Support Systems / 4.6:
Implementation of Systems Analysis to Management of Disasters / III:
Definitions / 5:
System Structure and Patterns of Behavior / 5.2:
System Dynamics Simulation Modeling Process / 5.3:
Causal Loop Diagram / 5.3.1:
Stock and Flow Diagram / 5.3.2:
Generic Principles of System Dynamics Simulation Modeling / 5.3.3:
Numerical Simulation / 5.3.4:
Policy Design and Evaluation-Model Use / 5.3.5:
System Dynamics Simulation Modeling Examples / 5.4:
A Simple Flu Epidemic Model / 5.4.1:
A More Complex Flu Epidemic Model with Recovery / 5.4.2:
An Example of Disaster Management Simulation-Flood Evacuation Simulation Model / 5.5:
Human Behavior During Disasters / 5.5.1:
A System Dynamics Simulation Model / 5.5.3:
Application of the Evacuation Model to the Analyses of Flood Emergency Procedures in the Red River Basin, Manitoba, Canada / 5.5.4:
Linear Programming / 5.5.5:
Formulation of Linear Optimization Models / 6.1.1:
Algebraic Representations of Linear Optimization Models / 6.1.2:
The Simplex Method for Solving Linear Programs / 6.2:
Completeness of the Simplex Algorithm / 6.2.1:
The Big M Method / 6.2.2:
Duality in LP / 6.3:
Sensitivity Analysis / 6.3.1:
Special Types of LP Problems-Transportation Problem / 6.4:
Formulation of the Transportation Problem / 6.4.1:
Solution of the Transportation Problem / 6.4.2:
Special Types of LP Problems-Network Problems / 6.5:
The Shortest Path Problem / 6.5.1:
The Minimum Spanning Tree Problem / 6.5.2:
The Maximum Flow Problem / 6.5.3:
An Example of Disaster Management Optimization-The Optimal Placement of Casualty Evacuation Assets / 6.6:
The OPTEVAC Model / 6.6.1:
A Casualty Evacuation Example / 6.6.3:
Summary / 6.6.4:
Toward Operational Framework for Multiobjective Analysis / 7:
An Illustrative Example / 7.1.2:
Multiobjective Analysis Methodology / 7.2:
Change of Concept / 7.2.1:
Nondominated Solutions / 7.2.2:
Participation of Decision Makers / 7.2.3:
Classification of Multiobjective Techniques / 7.2.4:
Disaster Management Applications / 7.2.5:
The Weighting Method / 7.3:
The Compromise Programming Method / 7.4:
Compromise Programming / 7.4.1:
Some Practical Recommendations / 7.4.2:
The COMPRO Computer Program / 7.4.3:
An Example of Disaster Management Multiobjective Analysis-Selection of Flood Management Alternative / 7.5:
Preparation of Input Data / 7.5.1:
Solution of Flood Management Problem Using Compromise Programming / 7.5.2:
Be Prepared / 7.5.3:
A View Ahead / 8:
Issues in Future Disaster Management / 8.1:
Climate Change / 8.1.1:
Population Growth and Migrations / 8.1.2:
A Systems View / 8.2:
Index
List of Figures and Tables
About the Author
Foreword
7.

図書

図書
Ginestra Bianconi
出版情報: Oxford : Oxford University Press, c2018  xiv, 402 p. ; 26 cm
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