Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Opinion Formation In Dynamic Social Networks
Download Opinion Formation In Dynamic Social Networks full books in PDF, epub, and Kindle. Read online Opinion Formation In Dynamic Social Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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.
Book Synopsis Opinion Formation in Dynamic Social Networks by : Joyce Kafui Klu
Download or read book Opinion Formation in Dynamic Social Networks written by Joyce Kafui Klu and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Opinion Formation Models in Static and Dynamic Social Networks by : Pramesh Singh
Download or read book Opinion Formation Models in Static and Dynamic Social Networks written by Pramesh Singh and published by . This book was released on 2014 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Opinion Dynamics in Social Networks by : Qi Gu
Download or read book Opinion Dynamics in Social Networks written by Qi Gu and published by . This book was released on 2014 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Opinion dynamics is a complex procedure that entails a cognitive process when it deals with how a person integrates influential opinions to form revised opinion. Early research on opinion formation and social influence can be traced back to the eighteenth century. The original research focus was to study the conditions for people to aggregate information and reach consensus. Recently, due to the rise of the World Wide Web more and more studies tend to model opinion dynamics in large-scale social networks via computational methods. Among those works, non-Bayesian rule-of-thumb learning models keep gaining popularity due to their simplicity and computational efficiency. Unlike many non-Bayesian methods that treat individual opinions on various issues as independent beliefs but overlook the connections between knowledge fragments, we leverage from Bayesian approaches to consider opinions as a product inferred from one's knowledge-based system, where new knowledge fragments are acquired through social interaction and learning experiences. We study how an individual evaluates and adopts such knowledge fragments from others sources, both visible and invisible, on the basis of the findings from well-established social theories. A computational framework was developed to model opinion dynamics, in which we applied a probabilistic model named Bayesian Knowledge Bases to represent an individual's knowledge base. Opinion dynamics is studied by modeling opinion formation as a process of knowledge fusion, learning the impact metric that estimates the reliability of knowledge fragments, and identifying influential sources whose impact patterns are hidden. The contributions of this work can be summarized as 1) the development of a domain-independent computational method to model opinion formation by emphasizing the dependencies between knowledge pieces, 2) the capability to model different aspects of opinion dynamics in one entire system, 3) the intuitiveness in representing opinions such that the intents behind the opinion change can be readily captured, 4) the ability to characterize the influences in a social community by realizing and enriching theories of social communication, and 5) the flexibility of application on detecting and tracking hidden influential sources.
Book Synopsis Annual Reviews of Computational Physics by : Dietrich Stauffer
Download or read book Annual Reviews of Computational Physics written by Dietrich Stauffer and published by World Scientific. This book was released on 2001 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ninth volume of Annual Reviews of Computational Physics has as a special feature a comprehensive compendium of interatomic potentials as used for materials properties. Other articles deal with simulations of magnetic nanostructures, improved Monte Carlo methods (e.g. for nucleation studies in Ising models), fluid dynamics with large mean free paths, the growing field of OC sociophysics, OCO and teaching of undergraduate computational physics (including an introduction to Java)."
Book Synopsis Collaborative Agents - Research and Development by : Christian Guttmann
Download or read book Collaborative Agents - Research and Development written by Christian Guttmann and published by Springer Science & Business Media. This book was released on 2011-07-05 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the first two international workshops on computational models of collaboration in distributed systems: CARE 2009, held as satellite event of the 22nd Australasian Joint Conference on Artificial Intelligence AI09 in Melbourne, Australia, in December 2009 and CARE 2010, held in conjunction with the International Conference on Intelligent Agent Technology (IAT) in Toronto, Canada, in August 2010. The 12 revised full papers presented together with 2 invited lectures were carefully selected from a total of 45 submissions to both events. The workshops' thematic focus is on collaborative and autonomous agents that plan, negotiate, coordinate, and act under conditions of incomplete information, uncertainty, and bounded rationality.
Book Synopsis Theory of Complexity by : Ricardo López-Ruiz
Download or read book Theory of Complexity written by Ricardo López-Ruiz and published by BoD – Books on Demand. This book was released on 2021-06-30 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Public Response to Alerts and Warnings Using Social Media by : National Research Council
Download or read book Public Response to Alerts and Warnings Using Social Media written by National Research Council and published by National Academies Press. This book was released on 2013-02-04 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following an earlier NRC workshop on public response to alerts and warnings delivered to mobile devices, a related workshop was held on February 28 and 29, 2012 to look at the role of social media in disaster response. This was one of the first workshops convened to look systematically at the use of social media for alerts and warnings-an event that brought together social science researchers, technologists, emergency management professionals, and other experts on how the public and emergency managers use social media in disasters.In addition to exploring how officials monitor social media, as well as the resulting privacy considerations, the workshop focused on such topics as: what is known about how the public responds to alerts and warnings; the implications of what is known about such public responses for the use of social media to provide alerts and warnings to the public; and approaches to enhancing the situational awareness of emergency managers. Public Response to Alerts and Warnings Using Social Media: Report of a Workshop on Current Knowledge and Research Gaps summarizes presentations made by invited speakers, other remarks by workshop participants, and discussions during parallel breakout sessions. It also points to potential topics for future research, as well as possible areas for future research investment, and it describes some of the challenges facing disaster managers who are seeking to incorporate social media into regular practice.
Book Synopsis On Aggregation and Dynamics of Opinions in Complex Networks by : Olle Abrahamsson
Download or read book On Aggregation and Dynamics of Opinions in Complex Networks written by Olle Abrahamsson and published by Linköping University Electronic Press. This book was released on 2024-04-17 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis studies two problems defined on complex networks, of which the first explores a conceivable extension of structural balance theory and the other concerns convergence issues in opinion dynamics. In the first half of the thesis we discuss possible definitions of structural balance conditions in a network with preference orderings as node attributes. The main result is that for the case with three alternatives (A, B, C) we reduce the (3!)3 = 216 possible configurations of triangles to 10 equivalence classes, and use these as measures of balance of a triangle towards possible extensions of structural balance theory. Moreover, we derive a general formula for the number of equivalent classes for preferences on n alternatives. Finally, we analyze a real-world data set and compare its empirical distribution of triangle equivalence classes to a null hypothesis in which preferences are randomly assigned to the nodes. The second half of the thesis concerns an opinion dynamics model in which each agent takes a random Bernoulli distributed action whose probability is updated at each discrete time step, and we prove that this model converges almost surely to consensus. We also provide a detailed critique of a claimed proof of this result in the literature. We generalize the result by proving that the assumption of irreducibility in the original model is not necessary. Furthermore, we prove as a corollary of the generalized result that the almost sure convergence to consensus holds also in the presence of a fully stubborn agent which never changes its opinion. In addition, we show that the model, in both the original and generalized cases, converges to consensus also in rth moment. Avhandlingen studerar två problem definierade på komplexa nätverk, varav det första utforskar en tänkbar utökning av strukturell balansteori och det andra behandlar konvergensfrågor inom opinionsdynamik. I avhandlingens första hälft diskuteras möjliga definitioner på villkor för strukturell balans i ett nätverk med preferensordningar som nodattribut. Huvudresultatet är att för fallet med tre alternativ (A, B, C) så kan de (3!)3 = 216 möjliga konfigurationerna av trianglar reduceras till 10 ekvivalensklasser, vilka används som mått på en triangels balans som ett steg mot möjliga utökningar av strukturell balansteori. Vi härleder även en generell formel för antalet ekvivalensklasser för preferensordningar med n alternativ. Slutligen analyseras en empirisk datamängd och dess empiriska sannolikhetsfördelning av triangel-ekvivalensklasser jämförs med en nollhypotes i vilken preferenser tilldelas noderna slumpmässigt. Den andra hälften av avhandlingen rör en opinionsdynamikmodell där varje agent agerar slumpmässigt enligt en Bernoullifördelning vars sannolikhet uppdateras vid varje diskret tidssteg, och vi bevisar att denna modell konvergerar nästan säkert till konsensus. Vi ger också en detaljerad kritik av ett påstått bevis av detta resultat i litteraturen. Vi generaliserar resultatet genom att visa att antagandet om irreducibilitet i den ursprungliga modellen inte är nödvändigt. Vidare visar vi, som följdsats av det generaliserade resultatet, att den nästan säkra konvergensen till konsensus även håller om en agent är fullständigt envis och aldrig byter åsikt. I tillägg till detta visar vi att modellen, både i det ursprungliga och i det generaliserade fallet, konvergerar till konsensus även i r:te ordningens moment.
Book Synopsis Boundedly Rational Opinion Dynamics in Directed Social Networks by : Pietro Battiston
Download or read book Boundedly Rational Opinion Dynamics in Directed Social Networks written by Pietro Battiston and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates opinion dynamics and social influence in directed communication networks. We study the properties of a generalized boundedly rational model of opinion formation in which individuals aggregate the information they receive by using weights that are a function of their neighbors' indegree. We then present an experiment designed to test the predictions of the model. We find that both Bayesian updating and boundedly rational updating a la DeMarzo et al. (2003) are rejected by the data. Consistent with our theoretical predictions, the social influence of an agent is positively and significantly affected by the number of individuals she listens to. When forming their opinions, agents do take into account the structure of the communication network, although in a sub-optimal way.
Book Synopsis Pedestrian and Evacuation Dynamics by : Richard D. Peacock
Download or read book Pedestrian and Evacuation Dynamics written by Richard D. Peacock and published by Springer Science & Business Media. This book was released on 2011-06-29 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: An aging population, increasing obesity and more people with mobility impairments are bringing new challenges to the management of routine and emergency people movement in many countries. These population challenges, coupled with the innovative designs being suggested for both the built environment and other commonly used structures (e.g., transportation systems) and the increasingly complex incident scenarios of fire, terrorism, and large-scale community disasters, provide even greater challenges to population management and safety. Pedestrian and Evacuation Dynamics, an edited volume, is based on the Pedestrian and Evacuation Dynamics (PED) 5th International 2010 conference, March 8th-10th 2010, located at the National Institute of Standards and Technology, Gaithersburg, MD, USA. This volume addresses both pedestrian and evacuation dynamics and associated human behavior to provide answers for policy makers, designers, and emergency management to help solve real world problems in this rapidly developing field. Data collection, analysis, and model development of people movement and behavior during nonemergency and emergency situations will be covered as well.
Book Synopsis Temporal Patterns of Communication in Social Networks by : Giovanna Miritello
Download or read book Temporal Patterns of Communication in Social Networks written by Giovanna Miritello and published by Springer Science & Business Media. This book was released on 2013-04-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elements and properties continuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of human interaction play in three main fields of social network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order to address this we analyzed large anonymized data sets of phone call communication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our research indicate that the observed heterogeneities and correlations of human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structure and dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, though traditional models seek to do so. Our results impact not only the way in which social network are traditionally characterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissemination of ideas, opinions and information.
Book Synopsis Data Mining in Dynamic Social Networks and Fuzzy Systems by : Bhatnagar, Vishal
Download or read book Data Mining in Dynamic Social Networks and Fuzzy Systems written by Bhatnagar, Vishal and published by IGI Global. This book was released on 2013-06-30 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.
Download or read book Markov Chains written by Pierre Bremaud and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.
Book Synopsis Analyzing the Social Web by : Jennifer Golbeck
Download or read book Analyzing the Social Web written by Jennifer Golbeck and published by Newnes. This book was released on 2013-02-17 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. Access and analysis of this public data about people and their connections to one another allows for new applications of traditional social network analysis techniques that let us identify things like who are the most important or influential people in a network, how things will spread through the network, and the nature of peoples' relationships. Analyzing the Social Web introduces you to these techniques, shows you their application to many different types of social media, and discusses how social media can be used as a tool for interacting with the online public. Presents interactive social applications on the web, and the types of analysis that are currently conducted in the study of social media Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data Provides an introduction to information visualization, particularly network visualization techniques, and methods for using them to identify interesting features in a network, generate hypotheses for analysis, and recognize patterns of behavior Includes a supporting website with lecture slides, exercises, and downloadable social network data sets that can be used can be used to apply the techniques presented in the book
Book Synopsis A Time-Variant and Non-Linear Model of Opinion Formation in Social Networks by : Dionisios Sotiropoulos
Download or read book A Time-Variant and Non-Linear Model of Opinion Formation in Social Networks written by Dionisios Sotiropoulos and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a discrete-time, non-linear and time-variant model of opinion formation in a social network with global interactions to investigate the relationship between the final consensus belief and the set of agents' initial opinions. The model uses a novel and considerably intuitive updating rule, according to which the weight placed by an agent on another one's opinion in each period decreases continuously with the distance between their beliefs in the previous period. In this context, the first part of our analysis proves that agents' beliefs converge and reach a consensus over time (under a fairly general set of conditions). For the two-agent case, it is then shown that the consensus belief is the simple arithmetic mean of initial opinions. When there are three agents in the network, the combined use of computational and analytical methods reveals a relatively more complex polynomial relationship between long-run and initial beliefs. In particular, our results for the three agent-case imply that the deviation of the limiting belief from the corresponding average of initial beliefs can be expressed as a third-degree polynomial function incorporating the pairwise differences of agents' starting beliefs.
Book Synopsis Complex Networks and Their Applications VIII by : Hocine Cherifi
Download or read book Complex Networks and Their Applications VIII written by Hocine Cherifi and published by Springer Nature. This book was released on 2019-11-26 with total page 1047 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.
