Three Models of Opinion Dynamics

Three Models of Opinion Dynamics PDF Author: Mary Layton Atkinson
Publisher: Cambridge University Press
ISBN: 1009100599
Category : Political Science
Languages : en
Pages : 83

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Book Description
This Element develops an explanation of how and why all public policy preferences move over time.

Three Models of Opinion Dynamics

Three Models of Opinion Dynamics PDF Author: Mary Layton Atkinson
Publisher: Cambridge University Press
ISBN: 1009100599
Category : Political Science
Languages : en
Pages : 83

Get Book Here

Book Description
This Element develops an explanation of how and why all public policy preferences move over time.

The Dynamics of Public Opinion

The Dynamics of Public Opinion PDF Author: Mary Layton Atkinson
Publisher: Cambridge University Press
ISBN: 1108877281
Category : Political Science
Languages : en
Pages : 83

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Book Description
A central question in political representation is whether government responds to the people. To understand that, we need to know what the government is doing, and what the people think of it. We seek to understand a key question necessary to answer those bigger questions: How does American public opinion move over time? We posit three patterns of change over time in public opinion, depending on the type of issue. Issues on which the two parties regularly disagree provide clear partisan cues to the public. For these party-cue issues we present a slight variation on the thermostatic theory from (Soroka and Wlezien (2010); Wlezien (1995)); our “implied thermostatic model.” A smaller number of issues divide the public along lines unrelated to partisanship, and so partisan control of government provides no relevant clue. Finally, we note a small but important class of issues which capture response to cultural shifts.

Opinion Dynamics and the Evolution of Social Power in Social Networks

Opinion Dynamics and the Evolution of Social Power in Social Networks PDF Author: Mengbin Ye
Publisher: Springer
ISBN: 3030106063
Category : Technology & Engineering
Languages : en
Pages : 220

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Book Description
This book uses rigorous mathematical analysis to advance opinion dynamics models for social networks in three major directions. First, a novel model is proposed to capture how a discrepancy between an individual’s private and expressed opinions can develop due to social pressures that arise in group situations or through extremists deliberately shaping public opinion. Detailed theoretical analysis of the final opinion distribution is followed by use of the model to study Asch’s seminal experiments on conformity, and the phenomenon of pluralistic ignorance. Second, the DeGroot-Friedkin model for evolution of an individual’s social power (self-confidence) is developed in a number of directions. The key result establishes that an individual’s initial social power is forgotten exponentially fast, even when the network changes over time; eventually, an individual’s social power depends only on the (changing) network structure. Last, a model for the simultaneous discussion of multiple logically interdependent topics is proposed. To ensure that a consensus across the opinions of all individuals is achieved, it turns out that the interpersonal interactions must be weaker than an individual’s introspective cognitive process for establishing logical consistency among the topics. Otherwise, the individual may experience cognitive overload and the opinion system becomes unstable. Conclusions of interest to control engineers, social scientists, and researchers from other relevant disciplines are discussed throughout the thesis with support from both social science and control literature.

Participatory Sensing, Opinions and Collective Awareness

Participatory Sensing, Opinions and Collective Awareness PDF Author: Vittorio Loreto
Publisher: Springer
ISBN: 3319256580
Category : Science
Languages : en
Pages : 425

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Book Description
This book introduces and reviews recent advances in the field in a comprehensive and non-technical way by focusing on the potential of emerging citizen-science and social-computation frameworks, coupled with the latest theoretical and modeling tools developed by physicists, mathematicians, computer and social scientists to analyse, interpret and visualize complex data sets. There is overwhelming evidence that the current organisation of our economies and societies is seriously damaging biological ecosystems and human living conditions in the short term, with potentially catastrophic effects in the long term. The need to re-organise the daily activities with the greatest impact – energy consumption, transport, housing – towards a more efficient and sustainable development model has recently been raised in the public debate on several global, environmental issues. Above all, this requires the mismatch between global, societal and individual needs to be addressed. Recent advances in Information and Communication Technologies (ICT) can trigger important transitions at the individual and collective level to achieve this aim. Based on the findings of the collaborative research network EveryAware the following developments among the emerging ICT technologies are discussed in depth in this volume: • Participatory sensing – where ICT development is pushed to the level where it can support informed action at the hyperlocal scale, providing capabilities for environmental monitoring, data aggregation and mining, as well as information presentation and sharing. • Web gaming, social computing and internet-mediated collaboration – where the Web will continue to acquire the status of an infrastructure for social computing, allowing users’ cognitive abilities to be coordinated in online communities, and steering the collective action towards predefined goals. • Collective awareness and decision-making – where the access to both personal and community data, collected by users, processed with suitable analysis tools, and re-presented in an appropriate format by usable communication interfaces leads to a bottom-up development of collective social strategies.

Theory of Complexity

Theory of Complexity PDF Author: Ricardo López-Ruiz
Publisher: BoD – Books on Demand
ISBN: 1789852137
Category : Computers
Languages : en
Pages : 112

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Book Description
Over two parts, this book examines the meaning of complexity in the context of systems both social and natural. Chapters cover such topics as the traveling salesman problem, models of opinion dynamics creation, a universal theory for knowledge formation in children, the evaluation of landscape organization and dynamics through information entropy indicators, and studying the performance of wind farms using artificial neural networks. We hope that this book will be useful to an audience interested in the different problems and approaches that are used within the theory of complexity

Complex Population Dynamics

Complex Population Dynamics PDF Author: Peter Turchin
Publisher: Princeton University Press
ISBN: 0691090211
Category : Science
Languages : en
Pages : 470

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Book Description
Why do organisms become extremely abundant one year and then seem to disappear a few years later? Why do population outbreaks in particular species happen more or less regularly in certain locations, but only irregularly (or never at all) in other locations? Complex population dynamics have fascinated biologists for decades. By bringing together mathematical models, statistical analyses, and field experiments, this book offers a comprehensive new synthesis of the theory of population oscillations. Peter Turchin first reviews the conceptual tools that ecologists use to investigate population oscillations, introducing population modeling and the statistical analysis of time series data. He then provides an in-depth discussion of several case studies--including the larch budmoth, southern pine beetle, red grouse, voles and lemmings, snowshoe hare, and ungulates--to develop a new analysis of the mechanisms that drive population oscillations in nature. Through such work, the author argues, ecologists can develop general laws of population dynamics that will help turn ecology into a truly quantitative and predictive science. Complex Population Dynamics integrates theoretical and empirical studies into a major new synthesis of current knowledge about population dynamics. It is also a pioneering work that sets the course for ecology's future as a predictive science.

Dynamics and Analysis of Alignment Models of Collective Behavior

Dynamics and Analysis of Alignment Models of Collective Behavior PDF Author: Roman Shvydkoy
Publisher: Springer Nature
ISBN: 3030681475
Category : Mathematics
Languages : en
Pages : 208

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Book Description
This book introduces a class of alignment models based on the so-called Cucker-Smale system as well as its kinetic and hydrodynamic counterparts. Cutting edge research in the area of collective behavior is presented, including emerging techniques from fluid mechanics, fractional analysis, and kinetic theory. Analytical aspects are highlighted throughout, such as regularity theory and long time behavior of solutions. Featuring open problems, readers will be motivated to apply these breakthrough methods to future research. The chapters offer an overview of state of the art research with introductions to core concepts. Chapter One introduces the central focus of the book: The agent-based Cucker-Smale system. Further agent-based systems and alignment systems are covered in chapters Two and Three. Following this are chapters covering the kinetic and hydrodynamic variants of the Cucker-Smale system. The core well-posedness theory of both smooth and singular models is then presented. Chapter Eight discusses the fully developed one-dimensional theory. The final chapter presents some of the known partial results concerning the regularity of multidimensional Euler Alignment systems. Dynamics and Analysis of Alignment Models of Collective Behavior is ideal for graduate students and researchers studying PDEs, especially those interested in the active areas of collective behavior and alignment models.

The Nature and Origins of Mass Opinion

The Nature and Origins of Mass Opinion PDF Author: John Zaller
Publisher: Cambridge University Press
ISBN: 9780521407861
Category : Political Science
Languages : en
Pages : 388

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Book Description
This 1992 book explains how people acquire political information from elites and the mass media and convert it into political preferences.

Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas

Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas PDF Author: Zining Yang
Publisher: Springer Nature
ISBN: 3030775178
Category : Science
Languages : en
Pages : 403

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Book Description
This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.

Sociophysics

Sociophysics PDF Author: Serge Galam
Publisher: Springer Science & Business Media
ISBN: 1461420318
Category : Social Science
Languages : en
Pages : 450

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Book Description
Do humans behave much like atoms? Sociophysics, which uses tools and concepts from the physics of disordered matter to describe some aspects of social and political behavior, answers in the affirmative. But advocating the use of models from the physical sciences to understand human behavior could be perceived as tantamount to dismissing the existence of human free will and also enabling those seeking manipulative skills . This thought-provoking book argues it is just the contrary. Indeed, future developments and evaluation will either show sociophysics to be inadequate, thus supporting the hypothesis that people can primarily be considered to be free agents, or valid, thus opening the path to a radically different vision of society and personal responsibility. This book attempts to explain why and how humans behave much like atoms, at least in some aspects of their collective lives, and then proposes how this knowledge can serve as a unique key to a dramatic leap forwards in achieving more social freedom in the real world. At heart, sociophysics and this book are about better comprehending the richness and potential of our social interaction, and so distancing ourselves from inanimate atoms.