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Author: Paulo Shakarian
Publisher: Springer
ISBN: 3319231057
Category : Computers
Languages : en
Pages : 110
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Book Description
This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.
Author: Paulo Shakarian
Publisher: Springer
ISBN: 3319231057
Category : Computers
Languages : en
Pages : 110
Get Book Here
Book Description
This book presents the leading models of social network diffusion that are used to demonstrate the spread of disease, ideas, and behavior. It introduces diffusion models from the fields of computer science (independent cascade and linear threshold), sociology (tipping models), physics (voter models), biology (evolutionary models), and epidemiology (SIR/SIS and related models). A variety of properties and problems related to these models are discussed including identifying seeds sets to initiate diffusion, game theoretic problems, predicting diffusion events, and more. The book explores numerous connections between social network diffusion research and artificial intelligence through topics such as agent-based modeling, logic programming, game theory, learning, and data mining. The book also surveys key empirical results in social network diffusion, and reviews the classic and cutting-edge research with a focus on open problems.
Author: Mohammed Zuhair Al-Taie
Publisher: Springer
ISBN: 3319530046
Category : Computers
Languages : en
Pages : 214
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Book Description
This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.
Author: Haiyan Wang
Publisher: Springer Nature
ISBN: 3030388522
Category : Mathematics
Languages : en
Pages : 153
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Book Description
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: Michael Windzio
Publisher: Springer Nature
ISBN: 3030834034
Category : Political Science
Languages : en
Pages : 279
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Book Description
This open access book analyses the global diffusion of social policy as a process driven by multiplex ties between countries in global social networks. The contributions analyze links between countries via global trade, colonial history, similarity in culture, and spatial proximity. Networks are viewed as the structural backbone of the diffusion process, and diffusion is anlaysed via several subfields of social policy, in order to interrogate which network dimensions drive this process. The focus is on a global perspective of social policy diffusion via networks, and it is the first book to explicitly follow this macro-quantitative perspective on diffusion at a global scale whilst also comparing different networks. The collection tests the network structures in terms of their relevance to the diffusion process in different subfields of social policy such as old age and survivor pensions, labor and labor markets, health and long-term care, education and training, and family and gender policy. The book will therefore be invaluable to students and researchers of global social policy, sociology, political science, international relations, organization theory and economics.
Author: Valerio Arnaboldi
Publisher: Elsevier
ISBN: 0128030429
Category : Computers
Languages : en
Pages : 118
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Book Description
Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis
Author: Inderjit S. Dhillon
Publisher:
ISBN: 9781450321747
Category : Computer science
Languages : en
Pages : 1534
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Book Description
Author: Johan van Benthem
Publisher: Cambridge University Press
ISBN: 1139500465
Category : Mathematics
Languages : en
Pages : 387
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Book Description
This book develops a view of logic as a theory of information-driven agency and intelligent interaction between many agents - with conversation, argumentation and games as guiding examples. It provides one uniform account of dynamic logics for acts of inference, observation, questions and communication, that can handle both update of knowledge and revision of beliefs. It then extends the dynamic style of analysis to include changing preferences and goals, temporal processes, group action and strategic interaction in games. Throughout, the book develops a mathematical theory unifying all these systems, and positioning them at the interface of logic, philosophy, computer science and game theory. A series of further chapters explores repercussions of the 'dynamic stance' for these areas, as well as cognitive science.
Author: Thomas W. Valente
Publisher:
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 202
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Book Description
This text presents a key to understanding how ideas, products and opinions take off and spread throughout society - referred to as the diffusion of innovation - and provides a means to estimate how fast or slow that spread occurs. The diffusion of innovations occurs among individuals in a social system, and the pattern of communications among these individuals is a social network. The network determines how quickly innovations diffuse and the timing of each individual's adoption. The book thus analyses how social networks structure the diffusion of innovation.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799804186
Category : Computers
Languages : en
Pages : 945
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Book Description
Within the past 10 years, tremendous innovations have been brought forth in information diffusion and management. Such technologies as social media have transformed the way that information is disseminated and used, making it critical to understand its distribution through these mediums. With the consistent creation and wide availability of information, it has become imperative to remain updated on the latest trends and applications in this field. Information Diffusion Management and Knowledge Sharing: Breakthroughs in Research and Practice examines the trends, models, challenges, issues, and strategies of information diffusion and management from a global context. Highlighting a range of topics such as influence maximization, information spread control, and social influence, this publication is an ideal reference source for managers, librarians, information systems specialists, professionals, researchers, and administrators seeking current research on the theories and applications of global information management.
Author: Kate Kenski
Publisher: Oxford University Press
ISBN: 0199793484
Category : Political Science
Languages : en
Pages : 977
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Book Description
Since its development shaped by the turmoil of the World Wars and suspicion of new technologies such as film and radio, political communication has become a hybrid field largely devoted to connecting the dots among political rhetoric, politicians and leaders, voters' opinions, and media exposure to better understand how any one aspect can affect the others. In The Oxford Handbook of Political Communication Kate Kenski and Kathleen Hall Jamieson bring together leading scholars, including founders of the field of political communication Elihu Katz, Jay Blumler, Doris Graber, Max McCombs, and Thomas Paterson,to review the major findings about subjects ranging from the effects of political advertising and debates and understandings and misunderstandings of agenda setting, framing, and cultivation to the changing contours of social media use in politics and the functions of the press in a democratic system. The essays in this volume reveal that political communication is a hybrid field with complex ancestry, permeable boundaries, and interests that overlap with those of related fields such as political sociology, public opinion, rhetoric, neuroscience, and the new hybrid on the quad, media psychology. This comprehensive review of the political communication literature is an indispensible reference for scholars and students interested in the study of how, why, when, and with what effect humans make sense of symbolic exchanges about sharing and shared power. The sixty-two chapters in The Oxford Handbook of Political Communication contain an overview of past scholarship while providing critical reflection of its relevance in a changing media landscape and offering agendas for future research and innovation.
