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000780264 0247_ $$a10.1007/978-3-319-54289-8$$2doi
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000780264 1001_ $$aEtesami, Seyed Rasoul,$$eauthor.
000780264 24510 $$aPotential-based analysis of social, communication, and distributed networks /$$cSeyel Rasoul Etesami.
000780264 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000780264 300__ $$a1 online resource.
000780264 336__ $$atext$$btxt$$2rdacontent
000780264 337__ $$acomputer$$bc$$2rdamedia
000780264 338__ $$aonline resource$$bcr$$2rdacarrier
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000780264 4901_ $$aSpringer theses
000780264 500__ $$a"Doctoral thesis accepted by University of Illinois at Urbana-Champaign, Champaign, USA."
000780264 504__ $$aIncludes bibliographical references and index.
000780264 5050_ $$aIntroduction -- Notation and Mathematical Preliminaries -- Unbiased Quantized Consensus -- Metropolis Quantized Consensus -- Hegselmann-Krause Opinion Dynamics in Finite Dimensions -- Capacitated Selfish Replication Game -- Diffusion Games Over Social Networks -- Conclusions and Directions for Future Research.
000780264 506__ $$aAccess limited to authorized users.
000780264 520__ $$aThis work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks.
000780264 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 27, 2017).
000780264 650_0 $$aMultiagent systems.
000780264 650_0 $$aPotential theory (Mathematics)
000780264 650_0 $$aOnline social networks.
000780264 77608 $$iPrint version:$$z9783319542881$$z3319542885$$w(OCoLC)970683918
000780264 830_0 $$aSpringer theses.
000780264 852__ $$bebk
000780264 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-54289-8$$zOnline Access$$91397441.1
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