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図書
図書
1. Multilayer networks : structure and function
Ginestra Bianconi
出版情報: Oxford : Oxford University Press, c2018  xiv, 402 p. ; 26 cm
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2.

図書
図書
2. System dynamics for engineering students : concepts and applications. 2nd ed
Nicolae Lobontiu
出版情報: London : Academic Press, c2018  xxiii, 759 p. ; 24 cm
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3.

図書
図書
3. Sensors : theory, algorithms, and applications (: hbk.)
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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4.

図書
図書
4. Lectures on complex networks (: hbk ; : pbk)
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：
5.

図書
図書
5. Modern systems analysis and design. 7th ed (: hbk.)
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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6.

図書
図書
6. Systems engineering and analysis. 5th ed
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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7.

図書
図書
7. Complex networks : structure, robustness and function (: hbk)
Reuven Cohen, Shlomo Havlin
出版情報: Cambridge ; New York : Cambridge University Press, 2010  viii, 238 p. ; 26 cm
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8.

図書
図書
8. Networks in cell biology (: hbk)
edited by M. Buchanan ... [et al.]
出版情報: Cambridge [England] : Cambridge University Press, 2010  x, 271 p. ; 26 cm
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目次情報: 続きを見る
List of contributors
Introduction / M. Buchanan ; G. Caldarelli ; P. De Los Rios ; F. Rao ; M. Vendruscolo
Network views of the cell / Paolo De Los Rios ; Michele Vendruscolo1：
The network hypothesis / 1.1：
The central dogma and gene regulatory networks / 1.2：
Protein-protein interaction networks / 1.3：
Metabolic networks / 1.4：
Signaling networks / 1.5：
Networked networks and cell functionality / 1.6：
Concluding remarks / 1.7：
Transcriptional regulatory networks / Sarath Chandra Janga ; M. Madan Babu2：
Transcriptional regulation in prokaryotes and eukaryotes / 2.1：
Structure of transcriptional regulatory networks / 2.3：
Evolution of transcriptional regulatory networks / 2.4：
Dynamics of transcriptional regulatory networks / 2.5：
Conclusions / 2.6：
Transcription factors and gene regulatory networks / Matteo Brilli ; Elisa Calistri ; Pietro Lió3：
Promoters' complexity/eukaryotic gene promoters / 3.1：
Transcription factors / 3.3：
Bioinformatics of regulatory networks / 3.4：
Experimental methods for protein interaction identification / Peter Uetz ; Björn Titz ; Seesandra V. Rajagopala ; Gerard Cagney4：
Protein complementation techniques / 4.1：
Affinity purification methods / 4.3：
Protein complex purification and mass spectrometry / 4.4：
Protein and peptide chips / 4.5：
Other methods for interaction detection and functional analysis / 4.6：
Quality of large-scale interaction data / 4.7：
Comparison of methods / 4.8：
Modeling protein interaction networks / Francesco Rao4.9：
Scaling laws and network topology / 5.1：
Predicting protein interactions / 5.3：
Towards models at an atomic level of resolution / 5.4：
Dynamics and evolution of metabolic networks / Daniel Segrè5.5：
Cellular metabolism and its regulation / 6.1：
Metabolism across disciplines / 6.3：
Dynamics of a metabolic system / 6.4：
Stoichiometric analysis / 6.5：
Constraint-based modeling: feasible states and optimality / 6.6：
Predicting genetic perturbations / 6.7：
Double perturbations and epistatic interactions / 6.8：
The ancient history of metabolism: from cell-scale to biosphere-scale / 6.9：
Hierarchical modularity in biological networks: the case of metabolic networks / Erzsébet Ravasz Regan6.10：
Modularity and hubs in biological networks / 7.1：
Scaling of the clustering coefficient: a signature of hierarchy / 7.3：
Method for finding network modules / 7.4：
A case study: the E. coli metabolic network / 7.5：
Hierarchy, fractality and the small world of networks / 7.6：
Signalling networks / Gian Paolo Rossini7.7：
Chemical signalling: many pathways following a few general themes / 8.1：
Cross-talks among signal transduction pathways / 8.3：
Signalling networks, system organization and modelling / 8.4：
Conclusions and outlook / 8.5：
Complex networks: from local to global properties / D. GarlaschelliAppendix A：
Modelling the local structure of networks / Appendix B：
Higher-order topological properties / S. Ahnert ; T. FinkAppendix C：
Elementary mathematical concepts / A. GabrielliAppendix D：
References
Index
List of contributors
Introduction / M. Buchanan ; G. Caldarelli ; P. De Los Rios ; F. Rao ; M. Vendruscolo
Network views of the cell / Paolo De Los Rios ; Michele Vendruscolo1：
9.

図書
図書
9. Graph theory and complex networks : an introduction. 1st ed
Maarten van Steen
出版情報: [S.l.] : Maarten van Steen, 2010  xii, 285 p. ; 23 cm
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10.

図書
図書
10. Networks. 2nd ed (: hbk)
M.E.J. Newman
出版情報: Oxford : Oxford University Press, 2018  xi, 780 p. ; 26 cm
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目次情報: 続きを見る
Preface
Introduction / 1：
The empirical study of networks
Technological networks / 2：
The Internet / 2.1：
The telephone network / 2.2：
Power grids / 2.3：
Transportation networks / 2.4：
Delivery and distribution networks / 2.5：
Networks of information / 3：
The World Wide Web / 3.1：
Citation networks / 3.2：
Other information networks / 3.3：
Social networks / 4：
The empirical study of social networks / 4.1：
Interviews and questionnaires / 4.2：
Direct observation / 4.3：
Data from archival or third-party records / 4.4：
Affiliation networks / 4.5：
The small-world experiment / 4.6：
Snowball sampling, contact tracing, and random walks / 4.7：
Biological networks / 5：
Biochemical networks / 5.1：
Networks in the brain / 5.2：
Ecological networks / 5.3：
Fundamentals of network theory / II：
Mathematics of networks / 6：
Networks and their representation / 6.1：
The adjacency matrix / 6.2：
Weighted networks / 6.3：
Directed networks / 6.4：
Hypergraphs / 6.5：
Bipartite networks / 6.6：
Multilayer and dynamic networks / 6.7：
Trees / 6.8：
Planar networks / 6.9：
Degree / 6.10：
Walks and paths / 6.11：
Components / 6.12：
Independent paths, connectivity, and cut sets / 6.13：
The graph Laplacian / 6.14：
Measures and metrics / 7：
Centrality / 7.1：
Groups of nodes / 7.2：
Transitivity and the clustering coefficient / 7.3：
Reciprocity / 7.4：
Signed edges and structural balance / 7.5：
Similarity / 7.6：
Homophily and assortative mixing / 7.7：
Computer algorithms / 8：
Software for network analysis and visualization / 8.1：
Running time and computational complexity / 8.2：
Storing network data / 8.3：
Algorithms for basic network quantities / 8.4：
Shortest paths and breadth-first search / 8.5：
Shortest paths in networks with varying edge lengths / 8.6：
Maximum flows and minimum cuts / 8.7：
Network statistics and measurement error / 9：
Types of error / 9.1：
Sources of error / 9.2：
Estimating errors / 9.3：
Correcting errors / 9.4：
The structure of real-world networks / 10：
Shortest paths and the small-world effect / 10.1：
Degree distributions / 10.3：
Power laws and scale-free networks / 10.4：
Distributions of other centrality measures / 10.5：
Clustering coefficients / 10.6：
Assortative mixing / 10.7：
Network models / III：
Random graphs / 11：
Mean number of edges and mean degree / 11.1：
Degree distribution / 11.3：
Clustering coefficient / 11.4：
Giant component / 11.5：
Small components / 11.6：
Path lengths / 11.7：
Problems with the random graph / 11.8：
The configuration model / 12：
Excess degree distribution / 12.1：
Locally tree-like networks / 12.3：
Number of second neighbors of a node / 12.5：
Networks with power-law degree distributions / 12.6：
Diameter / 12.9：
Generating function methods / 12.10：
Other random graph models / 12.11：
Models of network formation / 13：
Preferential attachment / 13.1：
The model of Barabási and Albert / 13.2：
Time evolution of the network and the first mover effect / 13.3：
Extensions of preferential attachment models / 13.4：
Node copying models / 13.5：
Network optimization models / 13.6：
Applications / IV：
Community structure / 14：
Dividing networks into groups / 14.1：
Modularity maximization / 14.2：
Methods based on information theory / 14.3：
Methods based on statistical inference / 14.4：
Other algorithms for cornrnunity detection / 14.5：
Measuring algorithm performance / 14.6：
Detecting other kinds of network structure / 14.7：
Percolation and network resilience / 15：
Percolation / 15.1：
Uniform random removal of nodes / 15.2：
Non-uniform removal of nodes / 15.3：
Percolation in real-world networks / 15.4：
Computer algorithms for percolation / 15.5：
Epidemics on networks / 16：
Models of the spread of infection / 16.1：
Epidemic models on networks / 16.2：
Outbreak sizes and percolation / 16.3：
Time-dependent properties of epidemics on networks / 16.4：
Time-dependent properties of the SI model / 16.5：
Time-dependent properties of the SIR model / 16.6：
Time-dependent properties of the SIS model / 16.7：
Dynamical systems on networks / 17：
Dynamical systems / 17.1：
Dynamics on networks / 17.2：
Dynamics with more than one variable per node / 17.3：
Spectra of networks / 17.4：
Synclironization / 17.5：
Network search / 18：
Web search / 18.1：
Searching distributed databases / 18.2：
Sending messages / 18.3：
References
Index
Preface
Introduction / 1：
The empirical study of networks
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