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Author : Weituo Zhang
Publisher :
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (115 download)
Download or read book Analytical Approach for Opinion Dynamics on Social Networks written by Weituo Zhang and published by . This book was released on 2012 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mengbin Ye
Publisher : Springer
ISBN 13 : 3030106063
Total Pages : 209 pages
Book Rating : 4.0/5 (31 download)
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.
Author : Federico Alberto Pozzi
Publisher : Morgan Kaufmann
ISBN 13 : 0128044381
Total Pages : 286 pages
Book Rating : 4.1/5 (28 download)
Download or read book Sentiment Analysis in Social Networks written by Federico Alberto Pozzi and published by Morgan Kaufmann. This book was released on 2016-10-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network mining Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics
Author : Qi Gu
Publisher :
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.:/5 (88 download)
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.
Author : Carlos Andre Pinheiro
Publisher : Createspace Independent Pub
ISBN 13 : 9781461098737
Total Pages : 210 pages
Book Rating : 4.0/5 (987 download)
Download or read book Exploratory Analysis in Dynamic Social Networks written by Carlos Andre Pinheiro and published by Createspace Independent Pub. This book was released on 2012-12-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social interactions within networks comprise an increasing event nowadays. Different aspects of societies and competitive markets, such as Social Medias through the Internet and Telecommunications environments hold a high correlation with the social network analysis methodology. By understanding these social structures and its interactions might be possible to realize how individuals and consumers relate each other and hence predict further social structures in the future. However, most of the current social network analysis projects are in relation to static structures, not considering how the social network evolves over the time. The dynamic approach can points out new perspectives in terms of social network analysis, including prediction and simulations scenarios. In order to perceive the social network relations over the time is crucial to collect the distinct snapshots of the social structure, understanding not just how the social members relate each other but in addition to that how this relationships evolves over the time. Measures in relation to social network describe nodes and links by static metrics, depicting its strength, its overall distances to the other related nodes, and its amounts of connections, among others. This dynamic approach makes possible to create a historical data, quite usual for predictive modeling. As such, new social network measures and algorithms should be created in order to describe dynamic features assigned to social structures over the time. Chapter 1 gives a brief overview of social network, such as its characteristics and how to visualize it. Chapter 2 discusses the general practice of building pervasive online social networks using real-world services and presents various projects that focus on the online social networking of the physical world. Chapter 3 presents a semantic model, non probabilistic and predictive, for the decisional analysis of professional and institutional social networks. Chapter 4 describes a novel approach towards the visualization and analysis of network dynamics. The goal is to handle network data and visualization in ways that explicitly deal with its time-based nature while simultaneously assessing nodal- and macro- network dynamics. Chapter 5 shows how the network topology affects epidemic diffusion and cascade dynamics. It also clarifies the largest maximum eigenvalue of the adjacency matrix of the network is the key index to estimate the properties of networks. Chapter 6, discusses the behaviors of malware propagation in online social networks using analytical models and conducts some simulations. Chapter 7 analyzes the Google Analytics data from multiple web companies. These web services all positioned themselves as social network sites within a relatively short time from their establishment. Several important measures available on Google Analytics were discussed with experienced practitioners to be identified for data collection. Chapter 8 explores the effects of spatiality and the direction of information transmission over cooperation dynamics. The model is based on the well-known "selfish herd" concept, and assumes that cultural and biological dynamics are driven by natural selection of the phenotypes. This model allows us to study the differences between the dynamics of cooperative, group-forming individuals subject to a selective pressure (predation). Chapter 9 does the survey about the types of private information and privacy threats on social network graphs, and then introduce the methods to protect the private information. Chapter 10 reviews the e-Government development processes in Canada, Malaysia, Australia, Singapore and Korea in order to identify the factors that contribute to the successful development of e-Government therein.
Author : Przemysław Kazienko
Publisher : Springer
ISBN 13 : 3319190032
Total Pages : 247 pages
Book Rating : 4.3/5 (191 download)
Download or read book Applications of Social Media and Social Network Analysis written by Przemysław Kazienko and published by Springer. This book was released on 2015-05-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.
Author : Giovanna Miritello
Publisher : Springer Science & Business Media
ISBN 13 : 3319001108
Total Pages : 166 pages
Book Rating : 4.3/5 (19 download)
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.
Author : Sascha Holzhauer
Publisher : kassel university press GmbH
ISBN 13 : 3899589785
Total Pages : 416 pages
Book Rating : 4.8/5 (995 download)
Download or read book Developing a Social Network Analysis and Visualization Module for Repast Models written by Sascha Holzhauer and published by kassel university press GmbH. This book was released on 2010 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jessica L. Bishop
Publisher :
ISBN 13 : 9781085584494
Total Pages : 57 pages
Book Rating : 4.5/5 (844 download)
Download or read book Exploring a Bayesian Analysis of Opinion Dynamics Using the Approximate Bayesian Computation Method written by Jessica L. Bishop and published by . This book was released on 2019 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media has created a whole new framework in the way we understand ones expression of opinion, and how ones' opinion can influence others. Models of opinion dynamics, such as a probabilistic modeling framework of opinion dynamics over time are given by Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, and Manuel Gomez Rodriguez in ``Learning and Forecasting Opinion Dynamics in Social Networks." In this paper, we will continue to explore their models, now coming from a Bayesian statistical standpoint, specifically looking at the Approximate Bayesian Computation (ABC) method for the computation of better estimations for the data. We will then use kernal smoothing to represent our results graphically.
Author : Hema Banati
Publisher : Springer
ISBN 13 : 3319651390
Total Pages : 333 pages
Book Rating : 4.3/5 (196 download)
Download or read book Hybrid Intelligence for Social Networks written by Hema Banati and published by Springer. This book was released on 2017-11-28 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.
Author : Federico Pozzi
Publisher : Morgan Kaufmann Publishers
ISBN 13 : 9780128044124
Total Pages : 242 pages
Book Rating : 4.0/5 (441 download)
Download or read book Sentiment Analysis in Social Networks written by Federico Pozzi and published by Morgan Kaufmann Publishers. This book was released on 2016-10-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking." Sentiment Analysis in Social Networks" begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network miningShows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics
Author : Dietrich Stauffer
Publisher : World Scientific
ISBN 13 : 9789812811578
Total Pages : 340 pages
Book Rating : 4.8/5 (115 download)
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)."
Author : Haiyan Wang
Publisher : Springer Nature
ISBN 13 : 3030388522
Total Pages : 153 pages
Book Rating : 4.0/5 (33 download)
Download or read book Modeling Information Diffusion in Online Social Networks with Partial Differential Equations written by Haiyan Wang and published by Springer Nature. This book was released on 2020-03-16 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based on intuitive social distances between clusters within the Euclidean space. The models are validated with data from major social media such as Twitter. In addition, mathematical analysis of these models is applied, revealing insights into information flow on social media. Two applications with geocoded Twitter data are included in the book: one describing the social movement in Twitter during the Egyptian revolution in 2011 and another predicting influenza prevalence. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era.
Author : María N. Moreno García
Publisher : MDPI
ISBN 13 : 3036502467
Total Pages : 144 pages
Book Rating : 4.0/5 (365 download)
Download or read book Information Retrieval and Social Media Mining written by María N. Moreno García and published by MDPI. This book was released on 2021-03-09 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network.
Author : Claus Beisbart
Publisher : Springer
ISBN 13 : 3319707663
Total Pages : 1074 pages
Book Rating : 4.3/5 (197 download)
Download or read book Computer Simulation Validation written by Claus Beisbart and published by Springer. This book was released on 2019-04-09 with total page 1074 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume introduces and discusses the methods of validating computer simulations in scientific research. The core concepts, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields ranging from engineering and the physical sciences to the social sciences and history. The work also offers new and original philosophical perspectives on the validation of simulations. Topics and features: introduces the fundamental concepts and principles related to the validation of computer simulations, and examines philosophical frameworks for thinking about validation; provides an overview of the various strategies and techniques available for validating simulations, as well as the preparatory steps that have to be taken prior to validation; describes commonly used reference points and mathematical frameworks applicable to simulation validation; reviews the legal prescriptions, and the administrative and procedural activities related to simulation validation; presents examples of best practice that demonstrate how methods of validation are applied in various disciplines and with different types of simulation models; covers important practical challenges faced by simulation scientists when applying validation methods and techniques; offers a selection of general philosophical reflections that explore the significance of validation from a broader perspective. This truly interdisciplinary handbook will appeal to a broad audience, from professional scientists spanning all natural and social sciences, to young scholars new to research with computer simulations. Philosophers of science, and methodologists seeking to increase their understanding of simulation validation, will also find much to benefit from in the text.
Author : Daron Acemoglu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book Opinion Dynamics and Learning in Social Networks written by Daron Acemoglu and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation vs. communication), and the structure of social networks in which individuals are situated on three key questions: (1) whether social learning will lead to consensus, i.e., to agreement among individuals starting with different views; (2) whether social learning will effectively aggregate dispersed information and thus weed out incorrect beliefs; (3) whether media sources, prominent agents, politicians and the state will be able to manipulate beliefs and spread misinformation in a society.
Author : John Scott
Publisher : SAGE
ISBN 13 : 152641225X
Total Pages : 249 pages
Book Rating : 4.5/5 (264 download)
Download or read book Social Network Analysis written by John Scott and published by SAGE. This book was released on 2017-02-16 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research. New to This Edition: A chapter on data collection, covering a crucial phase of the research process Fully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected world Detailed ‘Further Reading’ sections help you explore the wider literature Practical exercises including real-world examples of social networks enable you to apply your learning Expanded and brought right up-to-date, this classic text remains the indispensable guide to social network analysis for students, lecturers and researchers throughout the social sciences.
