Potential-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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Bibliographic Details
Main Author: Etesami, Seyed Rasoul, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Springer theses.
Subjects:
Multiagent systems.
Potential theory (Mathematics)
Online social networks.
elektronické knihy
electronic books
ISBN: 9783319542898
9783319542881
Physical Description: 1 online resource

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Table of contents

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100 1 |a Etesami, Seyed Rasoul,  |e author. 
245 1 0 |a Potential-based analysis of social, communication, and distributed networks /  |c Seyel Rasoul Etesami. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Springer theses 
500 |a "Doctoral thesis accepted by University of Illinois at Urbana-Champaign, Champaign, USA." 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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 excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Multiagent systems. 
650 0 |a Potential theory (Mathematics) 
650 0 |a Online social networks. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Etesami, Seyed Rasoul.  |t Potential-based analysis of social, communication, and distributed networks.  |d Cham, Switzerland : Springer, 2017  |z 9783319542881  |z 3319542885  |w (OCoLC)970683918 
830 0 |a Springer theses. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-54289-8  |y Plný text 
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