Temporal Network Theory
Springer International Publishing (Verlag)
978-3-031-30401-9 (ISBN)
- Noch nicht erschienen - erscheint am 12.12.2024
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Chapter 1. A map of approaches to temporal networks.- Chapter 2. Fundamental structures in temporal communication networks.- Chapter 3. Weighted, bipartite, or directed stream graphs for the modeling of temporal networks.- Chapter 4. Modelling temporal networks with Markov chains, community structures and change points.- Chapter 5. Visualisation of structure and processes on temporal networks.- Chapter 6. Weighted temporal event graphs and temporal-network connectivity.- Chapter 7. Exploring concurrency and reachability in the presence of high temporal resolution.- Chapter 8. Metrics for temporal text networks.- Chapter 9. Bursty time series analysis for temporal networks.- Chapter 10. Challenges in community discovery on temporal networks.- Chapter 11. Information diffusion backbone: From the union of shortest paths to the union of fastest path trees.- Chapter 12. Continuous-time random walks and temporal networks.- Chapter 13. Spreading of infection on temporal networks: An edge-centered perspective.- Chapter 14. The effect of concurrency on epidemic threshold in time-varying networks.- Chapter 15. Dynamics and control of stochastically switching networks: beyond fast switching.- Chapter 16. The effects of local and global link creation mechanisms on contagion processes unfolding on time-varying networks.- Chapter 17. Supracentrality analysis of temporal networks with directed interlayer coupling.- Chapter 18. Approximation methods for influence maximization in temporal networks.- Chapter 19. Temporal link prediction methods based on behavioral synchrony.- Chapter 20. A systematic derivation and illustration of temporal pair-based models.- Chapter 21. Modularity-based selection of the number of slices in temporal network clustering.
| Erscheinungsdatum | 22.11.2024 |
|---|---|
| Reihe/Serie | Computational Social Sciences |
| Zusatzinfo | XI, 485 p. 140 illus., 120 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Graphentheorie |
| Schlagworte | big data and network theory • Complexity • Computational Neuroscience • Computational Social Science • epidemic spreading processes • machine learning • measures of temporal network structure • network epidemic spreading • network theory and dynamic processes • network theory and mesoscopic structures • network theory and modeling frameworks and tools • Time Series Analysis • time varying networks |
| ISBN-10 | 3-031-30401-2 / 3031304012 |
| ISBN-13 | 978-3-031-30401-9 / 9783031304019 |
| Zustand | Neuware |
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