Opinion Fluctuations And Disagreement In Social Networks

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Opinion Fluctuations and Disagreement in Social Networks

Author : Daron Acemoglu
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (752 download)

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Book Synopsis Opinion Fluctuations and Disagreement in Social Networks by : Daron Acemoglu

Download or read book Opinion Fluctuations and Disagreement in Social Networks written by Daron Acemoglu and published by . This book was released on 2010 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study a stochastic gossip model of continuous opinion dynamics in a society consisting of two types of agents: regular agents, who update their beliefs according to information that they receive from their social neighbors; and stubborn agents, who never update their opinions and might represent leaders, political parties or media sources attempting to influence the beliefs in the rest of the society. When the society contains stubborn agents with different opinions, opinion dynamics never lead to a consensus (among the regular agents). Instead, beliefs in the society almost surely fail to converge, and the belief of each regular agent converges in law to a non-degenerate random variable. The model thus generates long-run disagreement and continuous opinion fluctuations. The structure of the social network and the location of stubborn agents within it shape opinion dynamics. When the society is "highly fluid," meaning that the mixing time of the random walk on the graph describing the social network is small relative to (the inverse of) the relative size of the linkages to stubborn agents, the ergodic beliefs of most of the agents concentrate around a certain common value. We also show that under additional conditions, the ergodic beliefs distribution becomes "approximately chaotic," meaning that the variance of the aggregate belief of the society vanishes in the large population limit while individual opinions still fluctuate significantly. Keywords: disagreement, learning, opinion information, social networks, stochastic gossip. JEL Classifications: D83.

Opinion Manipulation and Disagreement in Social Networks

Author : Geyu Yang
Publisher :
ISBN 13 :
Total Pages : 53 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Opinion Manipulation and Disagreement in Social Networks by : Geyu Yang

Download or read book Opinion Manipulation and Disagreement in Social Networks written by Geyu Yang and published by . This book was released on 2018 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: I study a bounded rationality model of opinion formation in which there are two different types of agents: naive agents and sophisticated agents. All agents update their opinions by taking weighted averages of neighbors' opinions. Naive agents truthfully report their opinions, but sophisticated agents can strategically report opinions to manipulate naive agents. I show that the limiting opinions are completely determined by sophisticated agents' biases and the structure of the network and that, generically, there is no consensus. I analyze how disagreement is affected by the intensity of lying cost, diverging interests, and the structure of the social network. I also show that naive agents do not have any social influence and sophisticated agents' social influence can be decomposed into two separate factors: direct influence and indirect influence.

Potential-Based Analysis of Social, Communication, and Distributed Networks

Author : Seyed Rasoul Etesami
Publisher : Springer
ISBN 13 : 3319542893
Total Pages : 190 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Potential-Based Analysis of Social, Communication, and Distributed Networks by : Seyed Rasoul Etesami

Download or read book Potential-Based Analysis of Social, Communication, and Distributed Networks written by Seyed Rasoul Etesami and published by Springer. This book was released on 2017-03-13 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Opinion Dynamics and the Evolution of Social Power in Social Networks

Author : Mengbin Ye
Publisher : Springer
ISBN 13 : 3030106063
Total Pages : 209 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Opinion Dynamics and the Evolution of Social Power in Social Networks by : Mengbin Ye

Download or read book Opinion Dynamics and the Evolution of Social Power in Social Networks written by Mengbin Ye and published by Springer. This book was released on 2019-02-19 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Social Network DeGroot Model

Author : Yucheng Dong
Publisher : Springer Nature
ISBN 13 : 9819704219
Total Pages : 175 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Social Network DeGroot Model by : Yucheng Dong

Download or read book Social Network DeGroot Model written by Yucheng Dong and published by Springer Nature. This book was released on with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Averaging Dynamics over Networks

Author : Fabio Fagnani
Publisher : Springer
ISBN 13 : 3319680226
Total Pages : 145 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Introduction to Averaging Dynamics over Networks by : Fabio Fagnani

Download or read book Introduction to Averaging Dynamics over Networks written by Fabio Fagnani and published by Springer. This book was released on 2017-11-09 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems. The book presents all the fundamental results on linear averaging dynamics, proposing a unified and updated viewpoint of many models and convergence results scattered in the literature. Starting from the classical evolution of the powers of a fixed stochastic matrix, the text then considers more general evolutions of products of a sequence of stochastic matrices, either deterministic or randomized. The theory needed for a full understanding of the models is constructed without assuming any knowledge of Markov chains or Perron–Frobenius theory. Jointly with their analysis of the convergence of averaging dynamics, the authors derive the properties of stochastic matrices. These properties are related to the topological structure of the associated graph, which, in the book’s perspective, represents the communication between agents. Special attention is paid to how these properties scale as the network grows in size. Finally, the understanding of stochastic matrices is applied to the study of other problems in multi-agent coordination: averaging with stubborn agents and estimation from relative measurements. The dynamics described in the book find application in the study of opinion dynamics in social networks, of information fusion in sensor networks, and of the collective motion of animal groups and teams of unmanned vehicles. Introduction to Averaging Dynamics over Networks will be of material interest to researchers in systems and control studying coordinated or distributed control, networked systems or multiagent systems and to graduate students pursuing courses in these areas.

Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1490107495
Total Pages : 1227 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition by :

Download or read book Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 1227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Random Structures and Algorithms. The editors have built Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Random Structures and Algorithms in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Logic, Operations, and Computational Mathematics and Geometry: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Social Computing, Behavioral-Cultural Modeling and Prediction

Author : John Salerno
Publisher : Springer Science & Business Media
ISBN 13 : 3642196551
Total Pages : 396 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Social Computing, Behavioral-Cultural Modeling and Prediction by : John Salerno

Download or read book Social Computing, Behavioral-Cultural Modeling and Prediction written by John Salerno and published by Springer Science & Business Media. This book was released on 2011-03-07 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, held in College Park, MD, USA, March 29-31, 2011. The 48 papers and 3 keynotes presented in this volume were carefully reviewed and selected from 88 submissions. The papers cover a wide range of topics including social network analysis; modeling; machine learning and data mining; social behaviors; public health; cultural aspects; and effects and search.

Cooperative and Graph Signal Processing

Author : Petar Djuric
Publisher : Academic Press
ISBN 13 : 0128136782
Total Pages : 868 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Cooperative and Graph Signal Processing by : Petar Djuric

Download or read book Cooperative and Graph Signal Processing written by Petar Djuric and published by Academic Press. This book was released on 2018-07-04 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book

Transactions on Computational Collective Intelligence XII

Author : Ngoc-Thanh Nguyen
Publisher : Springer
ISBN 13 : 3642538789
Total Pages : 217 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Transactions on Computational Collective Intelligence XII by : Ngoc-Thanh Nguyen

Download or read book Transactions on Computational Collective Intelligence XII written by Ngoc-Thanh Nguyen and published by Springer. This book was released on 2013-12-13 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twelfth issue contains 10 carefully selected and thoroughly revised contributions.

Advances in Network Clustering and Blockmodeling

Author : Patrick Doreian
Publisher : John Wiley & Sons
ISBN 13 : 1119224705
Total Pages : 425 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Advances in Network Clustering and Blockmodeling by : Patrick Doreian

Download or read book Advances in Network Clustering and Blockmodeling written by Patrick Doreian and published by John Wiley & Sons. This book was released on 2020-02-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.

Stochastic Processes and Functional Analysis

Author : Randall J. Swift
Publisher : American Mathematical Society
ISBN 13 : 1470459825
Total Pages : 248 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Stochastic Processes and Functional Analysis by : Randall J. Swift

Download or read book Stochastic Processes and Functional Analysis written by Randall J. Swift and published by American Mathematical Society. This book was released on 2021-11-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the AMS Special Session on Celebrating M. M. Rao's Many Mathematical Contributions as he Turns 90 Years Old, held from November 9–10, 2019, at the University of California, Riverside, California. The articles show the effectiveness of abstract analysis for solving fundamental problems of stochastic theory, specifically the use of functional analytic methods for elucidating stochastic processes and their applications. The volume also includes a biography of M. M. Rao and the list of his publications.

Structural Information and Communication Complexity

Author : Andrea Werneck Richa
Publisher : Springer Nature
ISBN 13 : 3030549216
Total Pages : 388 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Structural Information and Communication Complexity by : Andrea Werneck Richa

Download or read book Structural Information and Communication Complexity written by Andrea Werneck Richa and published by Springer Nature. This book was released on 2020-07-29 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 27th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2020, held in Paderborn, Germany, in June 2020.* The 19 full papers and 2 invited papers presented in this book were carefully reviewed and selected from 41 submissions. They are divided into seven sections, i.e. invited papers; mobile robots; dynamic graphs; network communication; multi-agent systems; communication complexity; and game theory. * The conference was held virtually due to the COVID-19 pandemic.

Structural Information and Communication Complexity

Author : Merav Parter
Publisher : Springer Nature
ISBN 13 : 3031099931
Total Pages : 311 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Structural Information and Communication Complexity by : Merav Parter

Download or read book Structural Information and Communication Complexity written by Merav Parter and published by Springer Nature. This book was released on 2022-06-24 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 29th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2022, held in Paderborn, Germany, in June 2022. The 16 full papers presented in this book were carefully reviewed and selected from 30 submissions. SIROCCO is devoted to the study of the interplay between structural knowledge, communication, and computing in decentralized systems of multiple communicating entities. Special emphasis is given to innovative approaches leading to better understanding of the relationship between computing and communication.

False Information and Disagreement in Social Networks

Author : Evan Sadler
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis False Information and Disagreement in Social Networks by : Evan Sadler

Download or read book False Information and Disagreement in Social Networks written by Evan Sadler and published by . This book was released on 2018 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disagreement, including on matters of fact, is a pervasive phenomenon, yet this is incompatible with existing work on social learning. I propose a model of information processing with two key features: (i) the agent encounters false information, and (ii) the agent cannot distinguish true propositions from false ones. I study two families of axioms for update rules, finding that ``willingness-to-learn'' axioms are incompatible with ``non-manipulability'' axioms. I also provide an axiomatic characterization of several update rules. In a simple social learning model, disagreement is not just possible, but generic. I characterize the influence of each agent on steady-state beliefs and apply the framework to study echo chambers and belief manipulation.

Agent-Based Modeling and Network Dynamics

Author : Akira Namatame
Publisher : Oxford University Press
ISBN 13 : 0191074993
Total Pages : 294 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Agent-Based Modeling and Network Dynamics by : Akira Namatame

Download or read book Agent-Based Modeling and Network Dynamics written by Akira Namatame and published by Oxford University Press. This book was released on 2016-01-28 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the significance of networks in various human behavior and activities has a history as long as human's existence, network awareness is a recent scientific phenomenon. The neologism network science is just one or two decades old. Nevertheless, with this limited time, network thinking has substantially reshaped the recent development in economics, and almost all solutions to real-world problems involve the network element. This book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The authors begin with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling's segregation model and Axelrod's spatial game. The essence of the foundation part is the network-based agent-based models in which agents follow network-based decision rules. Under the influence of the substantial progress in network science in late 1990s, these models have been extended from using lattices into using small-world networks, scale-free networks, etc. The text also shows that the modern network science mainly driven by game-theorists and sociophysicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks. It reviews a number of pioneering and representative models in this family. Upon the given foundation, the second part reviews three primary forms of network dynamics, such as diffusions, cascades, and influences. These primary dynamics are further extended and enriched by practical networks in goods-and-service markets, labor markets, and international trade. At the end, the book considers two challenging issues using agent-based models of networks: network risks and economic growth.

Game Theory with Engineering Applications

Author : Dario Bauso
Publisher : SIAM
ISBN 13 : 1611974283
Total Pages : 298 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Game Theory with Engineering Applications by : Dario Bauso

Download or read book Game Theory with Engineering Applications written by Dario Bauso and published by SIAM. This book was released on 2016-02-29 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering systems are highly distributed collective systems that have humans in the loop. Engineering systems emphasize the potential of control and games beyond traditional applications. Game theory can be used to design incentives to obtain socially desirable behaviors on the part of the players, for example, a change in the consumption patterns on the part of the ?prosumers? (producers-consumers) or better redistribution of traffic. This unique book addresses the foundations of game theory, with an emphasis on the physical intuition behind the concepts, an analysis of design techniques, and a discussion of new trends in the study of cooperation and competition in large complex distributed systems.