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Network Models of the Diffusion of Innovations by Thomas W. Valente Pdf
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.
Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf
Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
Diffusion of Innovations, 4th Edition by Everett M. Rogers Pdf
Since the first edition of this landmark book was published in 1962, Everett Rogers's name has become "virtually synonymous with the study of diffusion of innovations," according to Choice. The second and third editions of Diffusion of Innovations became the standard textbook and reference on diffusion studies. Now, in the fourth edition, Rogers presents the culmination of more than thirty years of research that will set a new standard for analysis and inquiry. The fourth edition is (1) a revision of the theoretical framework and the research evidence supporting this model of diffusion, and (2) a new intellectual venture, in that new concepts and new theoretical viewpoints are introduced. This edition differs from its predecessors in that it takes a much more critical stance in its review and synthesis of 5,000 diffusion publications. During the past thirty years or so, diffusion research has grown to be widely recognized, applied and admired, but it has also been subjected to both constructive and destructive criticism. This criticism is due in large part to the stereotyped and limited ways in which many diffusion scholars have defined the scope and method of their field of study. Rogers analyzes the limitations of previous diffusion studies, showing, for example, that the convergence model, by which participants create and share information to reach a mutual understanding, more accurately describes diffusion in most cases than the linear model. Rogers provides an entirely new set of case examples, from the Balinese Water Temple to Nintendo videogames, that beautifully illustrate his expansive research, as well as a completely revised bibliography covering all relevant diffusion scholarship in the past decade. Most important, he discusses recent research and current topics, including social marketing, forecasting the rate of adoption, technology transfer, and more. This all-inclusive work will be essential reading for scholars and students in the fields of communications, marketing, geography, economic development, political science, sociology, and other related fields for generations to come.
Social Networks and Health by Thomas W. Valente Pdf
Relationships and the pattern of relationships have a large and varied influence on both individual and group action. The fundamental distinction of social network analysis research is that relationships are of paramount importance in explaining behavior. Because of this, social network analysis offers many exciting tools and techniques for research and practice in a wide variety of medical and public health situations including organizational improvements, understanding risk behaviors, coordinating coalitions, and the delivery of health care services. This book provides an introduction to the major theories, methods, models, and findings of social network analysis research and application. In three sections, it presents a comprehensive overview of the topic; first in a survey of its historical and theoretical foundations, then in practical descriptions of the variety of methods currently in use, and finally in a discussion of its specific applications for behavior change in a public health context. Throughout, the text has been kept clear, concise, and comprehensible, with short mathematical formulas for some key indicators or concepts. Researchers and students alike will find it an invaluable resource for understanding and implementing social network analysis in their own practice.
Diffusion, or the widespread adoption of innovations, is a critical yet under-researched topic. There is a wide gap between development and successful adoption of an innovation. Therefore, a better understanding of why and how an innovation is adopted can help develop realistic management and business plans. Most books on this topic use a single-discipline approach to explain the diffusion of innovations. This book adopts a multi-disciplinary and managerial process approach to understanding and promoting the adoption of innovations, based on the latest research and practice. It will be of interest to graduates and researchers in marketing, product development and innovation courses.
Diffusion of Innovations, 5th Edition by Everett M. Rogers Pdf
Now in its fifth edition, Diffusion of Innovations is a classic work on the spread of new ideas. In this renowned book, Everett M. Rogers, professor and chair of the Department of Communication & Journalism at the University of New Mexico, explains how new ideas spread via communication channels over time. Such innovations are initially perceived as uncertain and even risky. To overcome this uncertainty, most people seek out others like themselves who have already adopted the new idea. Thus the diffusion process consists of a few individuals who first adopt an innovation, then spread the word among their circle of acquaintances—a process which typically takes months or years. But there are exceptions: use of the Internet in the 1990s, for example, may have spread more rapidly than any other innovation in the history of humankind. Furthermore, the Internet is changing the very nature of diffusion by decreasing the importance of physical distance between people. The fifth edition addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.
Social Networks: Models of Information Influence, Control and Confrontation by Alexander G. Chkhartishvili,Dmitry A. Gubanov,Dmitry A. Novikov Pdf
This book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation. Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars). This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.
Modeling Software Markets by Falk Graf Westarp Pdf
As social beings, humans are not living in isolation but rather interact and communicate within their social network via language, meant to convey parts of some conceptualization from the sender to a single recipient or a set of recipients. Communities of agents not only share a common language but also the individual conceptualizations of the world (real and abstract) have to overlap to a significant extent, allowing for efficient reference to whole conceptual structures like "the German constitution", "game theory" or "medical sciences". For "societies" of interacting technical devices or software agents the situation is not quite as Babylonian since although these agents are meant to act individually (and also have a private state and private knowledge) in most cases they are designed to refer to one common ontology or standardized protocol and thus do not have to deal with misunderstanding. However, the more these systems become interconnected, the more this situation resembles the one described for societies of human agents even though the misunderstanding might be easier to detect when the different reference ontologies are made explicit and published. Obviously, in both cases standardization of a common language or set of rules for interaction reduces the individual degree of freedom for the sake of compatibility and benefits derived from interaction. In his work, Falk Graf von Westarp addresses the software market as a domain strongly depending on compatibility effects of the individuals' decisions.
Managing Convergence in Innovation by Kong-rae Lee Pdf
Technology in several forms, especially Information Technology (IT), has a strong tendency to converge at varying degrees. This phenomenon of converging innovation is likely to deepen and widen in the future due to intense competition in global markets. Asian manufacturing firms in particular lead the global industrial innovation. Convergent innovation exists as a constant disequilibrium between reference technology and matching technology; innovations of these technologies occur at different degrees to attain an optimal balance. Innovations as a result of convergence are often beneficial, improving welfare and employment. This book sheds light on the little-discussed idea of convergent innovation with examples hailing from Asia. The book also proposes new theories and investigates convergence at the micro level – guaranteed food for thought for academics interested in innovation economics and management.
Diffusion of Innovations in Health Service Organisations by Sir Trisha Greenhalgh,Sir Glenn Robert,Sir Paul Bate,Sir Fraser Macfarlane,Sir Olivia Kyriakidou Pdf
This is a systematic review on how innovations in health service practice and organisation can be disseminated and implemented. This is an academic text, originally commissioned by the Department of Health from University College London and University of Surrey, using a variety of research methods. The results of the review are discussed in detail in separate chapters covering particular innovations and the relevant contexts. The book is intended as a resource for health care researchers and academics.
Getting an innovation adopted is difficult; a common problem is increasing the rate of its diffusion. Diffusion is the communication of an innovation through certain channels over time among members of a social system. It is a communication whose messages are concerned with new ideas; it is a process where participants create and share information to achieve a mutual understanding. Initial chapters of the book discuss the history of diffusion research, some major criticisms of diffusion research, and the meta-research procedures used in the book. This text is the third edition of this well-respected work. The first edition was published in 1962, and the fifth edition in 2003. The book's theoretical framework relies on the concepts of information and uncertainty. Uncertainty is the degree to which alternatives are perceived with respect to an event and the relative probabilities of these alternatives; uncertainty implies a lack of predictability and motivates an individual to seek information. A technological innovation embodies information, thus reducing uncertainty. Information affects uncertainty in a situation where a choice exists among alternatives; information about a technological innovation can be software information or innovation-evaluation information. An innovation is an idea, practice, or object that is perceived as new by an individual or an other unit of adoption; innovation presents an individual or organization with a new alternative(s) or new means of solving problems. Whether new alternatives are superior is not precisely known by problem solvers. Thus people seek new information. Information about new ideas is exchanged through a process of convergence involving interpersonal networks. Thus, diffusion of innovations is a social process that communicates perceived information about a new idea; it produces an alteration in the structure and function of a social system, producing social consequences. Diffusion has four elements: (1) an innovation that is perceived as new, (2) communication channels, (3) time, and (4) a social system (members jointly solving to accomplish a common goal). Diffusion systems can be centralized or decentralized. The innovation-development process has five steps passing from recognition of a need, through R&D, commercialization, diffusions and adoption, to consequences. Time enters the diffusion process in three ways: (1) innovation-decision process, (2) innovativeness, and (3) rate of the innovation's adoption. The innovation-decision process is an information-seeking and information-processing activity that motivates an individual to reduce uncertainty about the (dis)advantages of the innovation. There are five steps in the process: (1) knowledge for an adoption/rejection/implementation decision; (2) persuasion to form an attitude, (3) decision, (4) implementation, and (5) confirmation (reinforcement or rejection). Innovations can also be re-invented (changed or modified) by the user. The innovation-decision period is the time required to pass through the innovation-decision process. Rates of adoption of an innovation depend on (and can be predicted by) how its characteristics are perceived in terms of relative advantage, compatibility, complexity, trialability, and observability. The diffusion effect is the increasing, cumulative pressure from interpersonal networks to adopt (or reject) an innovation. Overadoption is an innovation's adoption when experts suggest its rejection. Diffusion networks convey innovation-evaluation information to decrease uncertainty about an idea's use. The heart of the diffusion process is the modeling and imitation by potential adopters of their network partners who have adopted already. Change agents influence innovation decisions in a direction deemed desirable. Opinion leadership is the degree individuals influence others' attitudes.
Communication of Innovations by Arvind Singhal,James W Dearing Pdf
This collection of 10 original essays honors the intellectual legacy of Everett M. Rogers (1931-2004), the pioneering and distinguished teacher-scholar of diffusion of innovations, communication networks, technology transfer, development communication, and the entertainment-education strategy. Well-known colleagues and contemporaries write on these topics that especially piqued Rogers' curiosity, and to which he made seminal and lasting contributions.
Exploratory Social Network Analysis with Pajek by Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj Pdf
An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels.
Encyclopedia of Social Networks by George A. Barnett Pdf
Request a FREE 30-day online trial to this title at www.sagepub.com/freetrial This two-volume encyclopedia provides a thorough introduction to the wide-ranging, fast-developing field of social networking, a much-needed resource at a time when new social networks or "communities" seem to spring up on the internet every day. Social networks, or groupings of individuals tied by one or more specific types of interests or interdependencies ranging from likes and dislikes, or disease transmission to the "old boy" network or overlapping circles of friends, have been in existence for longer than services such as Facebook or YouTube; analysis of these networks emphasizes the relationships within the network . This reference resource offers comprehensive coverage of the theory and research within the social sciences that has sprung from the analysis of such groupings, with accompanying definitions, measures, and research. Featuring approximately 350 signed entries, along with approximately 40 media clips, organized alphabetically and offering cross-references and suggestions for further readings, this encyclopedia opens with a thematic Reader's Guide in the front that groups related entries by topics. A Chronology offers the reader historical perspective on the study of social networks. This two-volume reference work is a must-have resource for libraries serving researchers interested in the various fields related to social networks.
Mixed Methods Social Networks Research by Silvia Domínguez,Betina Hollstein Pdf
This edited volume demonstrates the potential of mixed-methods designs for the research of social networks and the utilization of social networks for other research. Mixing methods applies to the combination and integration of qualitative and quantitative methods. In social network research, mixing methods also applies to the combination of structural and actor-oriented approaches. The volume provides readers with methodological concepts to guide mixed-method network studies with precise research designs and methods to investigate social networks of various sorts. Each chapter describes the research design used and discusses the strengths of the methods for that particular field and for specific outcomes.
