Screen LibraryPotential-Based Analysis of Social, Communication, and Distributed Networks /
This work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
Springer International Publishing : Imprint: Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-54289-8 |
| Summary: |
This work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering |
| Carrier Form: | 1 online resource (XXVII, 172 pages): illustrations. |
| ISBN: | 9783319542898 |
| Index Number: | TK1 |
| CLC: | TN919 |
| Contents: | Introduction -- Notation and Mathematical Preliminaries -- Unbiased Quantized Consensus -- Metropolis Quantized Consensus -- Hegselmann-Krause Opinion Dynamics in Finite Dimensions -- Capacitated Selfish Replication Game -- Diffusion Games Over Social Networks -- Conclusions and Directions for Future Research. |