tion id="u97897d7a-42b2-53be-8d0a-e81c35ba4337">
Table of Contents
1 Cover
4 Foreword
6 PART 1: Network Variety and Modeling 1 Network Typology 1.1. Introduction 1.2. The principal networks 1.3. Characterization and typology of networks 1.4. Engineering issues 1.5. Performance indicators, evaluation, optimization 1.6. Conclusion 2 Modeling Discrete Flow Networks 2.1. Introduction 2.2. Structure 2.3. Characterization of a discrete flow 2.4. Activities 2.5. Control system 2.6. Resources 2.7. Fluid kinematics 2.8. Formalisms for modeling flows in a network 2.9. Multi-modeling 2.10. Conclusion
7 PART 2: Network Analysis Methods and Applications 3 Exact Methods Applied to the Flow Analysis of Topological Networks 3.1. Introduction 3.2. Additive flow networks – deterministic modeling by flow networks 3.3. Additive flow networks – stochastic modeling by queuing networks 3.4. Synchronized flow networks – modeling by timed event graphs 3.5. Conclusion 4 Simulation Techniques Applied to the Analysis of Sociological Networks 4.1. Introduction 4.2. Simulation techniques 4.3. Simulation of flows in sociological networks 4.4. Conclusion
8 PART 3: Case Studies 5 Smart Grid 5.1. Summary of the study 5.2. Demand profile 5.3. Solar power station, fuel station and regional import 5.4. Hydroelectric power station and PHES 5.5. Operational issues 5.6. Model 5.7. Optimization results 6 Forestry Logistics 6.1. Summary of the study 6.2. Forest timber supply problem 6.3. Tactical planning model 6.4. Logistics benchmarking 6.5. Conclusion 7 Multi-layered Digital Social Networks 7.1. Summary of the study 7.2. Digital social networks 7.3. Studying digital social networks via an interview broadcast 7.4. Modeling and simulation 7.5. Simulation results 7.6. Conclusion and perspectives
10 Index
List of Tables
1 IntroductionTable I.1. Required reading
2 Chapter 1Table 1.1. Typology of material flow networks. For a color version of this table...Table 1.2. Typology of information flow networks. Fora color version of this tab...Table 1.3. Network engineering issues. For a color version of this table, see ww...
3 Chapter 2Table 2.1. Classes of discrete flow networksTable 2.2. Distribution function of the random variable δ (exponential model)Table 2.3. Activities implemented in discrete flow networksTable 2.4. Referencing a flow entity (general description)Table 2.5. Network resourcesTable 2.6. Special features of the model shown in Figure 2.8Table 2.7. Network modeling formalisms and their limitationsTable 2.8. Diffusion modes of an element circulating in a multi-layer network
4 Chapter 3Table 3.1. State and event graphs (Petri net formalism). For a color version of ...Table 3.2. Capacities of cuts for graph
Table 3.3. Performance indicators based on the arrival rate λ (λ < λM)Table 3.4. Description of elementary circuits5 Chapter 4Table 4.1. Algorithm for the rootTable 4.2. Algorithm for a simulator (in charge of an atomic model)Table 4.3. Algorithm for a coordinator (coupled model)
6 Chapter 5Table 5.1. Data sheet. Case study: Smart Grid
7 Chapter 6Table 6.1. Data sheet. Case study: forestry logistics
8 Chapter