social network analysis history theory and methodology

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Social Network Analysis

Author : Christina Prell
ISBN : 9781412947145
Genre : Social Science
File Size : 46. 34 MB
Format : PDF
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Appropriate for beginners and established researchers the book represents SNA in its entirety; as theory as well as method - and is carefully supported by up-to-date statistical models.

What Is Social Network Analysis

Author : John Scott
ISBN : 9781849668194
Genre : Reference
File Size : 86. 15 MB
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This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, this book presents the key ideas in context through examples and illustrations. Using a structured approach to understanding work in this area, John Scott signposts further reading and online sources so readers can develop their knowledge and skills to become practitioners of this research method. A series of Frequently Asked Questions takes the reader through the main objections raised against social network analysis and answers the various queries that will come up once the reader has worked their way through the book.

Social Interaction In Animals Linking Experimental Approach And Social Network Analysis

Author : Cédric Sueur
ISBN : 9782889451227
Genre :
File Size : 83. 96 MB
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Understanding the link between individual behaviour and population organization and functioning has long been central to ecology and evolutionary biology. Behaviour is a response to intrinsic and extrinsic factors including individual state, ecological factors or social interactions. Within a group, each individual can be seen as part of a network of social interactions varying in strength, type and dynamic. The structure of this network can deeply impact the ecology and evolution of individuals, populations and species. Within a group social interactions can take many forms and may significantly affect an individual’s fitness. These interactions may result in complex systems at the group-level, such as in the case of collective decisions (to migrate, to build nest or to forage). Among them, social transmission of information has been studied mostly in vertebrates: fish, birds and mammals including humans. In insects, social learning has been unambiguously demonstrated in social Hymenoptera but this probably reflects limited research effort and recent evidence show that even non-eusocial insects such as Drosophila, cockroaches and crickets can copy the behaviour of others. Compared to individual learning, which requires a trial and error period every generation, social learning can potentially result in the stable transmission of behaviours across generations, leading to cultural traditions in some species. The study of the processes which may facilitate or prevent this transmission and the analyses of the relationship between social network structure and efficiency of social transmission became these recent years an emerging and promising field of research. The goal of this research topic is to present the genetic and socio-environmental factors affecting social interaction and information or pathogen transmission with the integration of experimental approaches, social network analyses and modelling. Importantly, we aim to understand whether a relationship between social network structures and dynamics can reflect the efficiency of social transmission, i.e. can we use social network analysis to predict the social transmission of information or of pathogen, collective decision-making and ultimately the evolutionary trajectory of a group?

Beyond Big Data

Author : Martin Oberhofer
ISBN : 9780133509816
Genre : Computers
File Size : 65. 3 MB
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Drive Powerful Business Value by Extending MDM to Social, Mobile, Local, and Transactional Data Enterprises have long relied on Master Data Management (MDM) to improve customer-related processes. But MDM was designed primarily for structured data. Today, crucial information is increasingly captured in unstructured, transactional, and social formats: from tweets and Facebook posts to call center transcripts. Even with tools like Hadoop, extracting usable insight is difficult—often, because it’s so difficult to integrate new and legacy data sources. In Beyond Big Data, five of IBM’s leading data management experts introduce powerful new ways to integrate social, mobile, location, and traditional data. Drawing on pioneering experience with IBM’s enterprise customers, they show how Social MDM can help you deepen relationships, improve prospect targeting, and fully engage customers through mobile channels. Business leaders and practitioners will discover powerful new ways to combine social and master data to improve performance and uncover new opportunities. Architects and other technical leaders will find a complete reference architecture, in-depth coverage of relevant technologies and use cases, and domain-specific best practices for their own projects. Coverage Includes How Social MDM extends fundamental MDM concepts and techniques Architecting Social MDM: components, functions, layers, and interactions Identifying high value relationships: person to product and person to organization Mapping Social MDM architecture to specific products and technologies Using Social MDM to create more compelling customer experiences Accelerating your transition to highly-targeted, contextual marketing Incorporating mobile data to improve employee productivity Avoiding privacy and ethical pitfalls throughout your ecosystem Previewing Semantic MDM and other emerging trends

The Sage Handbook Of Social Network Analysis

Author : John Scott
ISBN : 9781473971189
Genre : Social Science
File Size : 65. 83 MB
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This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.

Math Education For America

Author : Mark Wolfmeyer
ISBN : 9781134673841
Genre : Education
File Size : 84. 30 MB
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Math Education for America? analyzes math education policy through the social network of individuals and private and public organizations that influence it in the United States. The effort to standardize a national mathematics curriculum for public schools in the U.S. culminated in 2010 when over 40 states adopted the Common Core State Standards for Mathematics. Rather than looking at the text of specific policy documents, this book complements existing critical reviews of the national math education curriculum by employing a unique social network analysis. Breaking new ground in detailing and theorizing the politics of math education, Wolfmeyer argues that the private interests of this network are closely tied to a web of interrelated developments: human capital education policy, debates over traditional and reform pedagogy, the assumed content knowledge deficit of math teachers, and the proliferation of profit-driven educational businesses. By establishing the interconnectedness of these interests with the national math education curriculum, he shows how the purported goals of math education reform are aligned with the prevailing political agendas of this social network rather than the national interest.

The New Science Of Cities

Author : Michael Batty
ISBN : 9780262019521
Genre : Architecture
File Size : 29. 32 MB
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In The New Science of Cities, Michael Batty suggests that to understand cities we must view them not simply as places in space but as systems of networks and flows. To understand space, he argues, we must understand flows, and to understand flows, we must understand networks -- the relations between objects that comprise the system of the city. Drawing on the complexity sciences, social physics, urban economics, transportation theory, regional science, and urban geography, and building on his own previous work, Batty introduces theories and methods that reveal the deep structure of how cities function. Batty presents the foundations of a new science of cities, defining flows and their networks and introducing tools that can be applied to understanding different aspects of city structure. He examines the size of cities, their internal order, the transport routes that define them, and the locations that fix these networks. He introduces methods of simulation that range from simple stochastic models to bottom-up evolutionary models to aggregate land-use transportation models. Then, using largely the same tools, he presents design and decision-making models that predict interactions and flows in future cities. These networks emphasize a notion with relevance for future research and planning: that design of cities is collective action.

Social Network Analysis In Program Evaluation

Author : Maryann M. Durland
ISBN : STANFORD:36105121916238
Genre : Education
File Size : 22. 22 MB
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This important issue of New Directions for Evaluation highlights social network analysis (SNA) methodology and its application within program evaluation. The application of SNA is relatively new for mainstream evaluation, and like most other innovations, it has yet to be fully explored in this field. The volume aims to fill the gaps within SNA methodology exploration by first reviewing the foundations and development of network analysis within the social sciences and the field of evaluation. The focus then turns to the methodology. Who holds power in a network, and what measures indicate whether that power is direct or indirect? Which subgroups have formed, and where are they positioned in an organization? How divided is an organization? Who forms the core of a collaboration, and where are the experts in an organization? These are the types of common questions explored in the four case studies of the use of network analysis within an evaluative framework. These cases are diverse in their evaluation situations and in the application of measures, providing a basis to model common applications of network analysis within the field. The final chapters include a personal account of current use by a government agency and suggestions for the future use of SNA for evaluation practice.

Social Network Analysis

Author : John Scott
ISBN : 0761963391
Genre : Social Science
File Size : 21. 12 MB
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The revised and updated edition of this bestselling text provides an accessible introduction to the theory and practice of network analysis in the social sciences. It gives a clear and authoritative guide to the general framework of network analysis, explaining the basic concepts, technical measures and reviewing the available computer programs. The book outlines both the theoretical basis of network analysis and the key techniques for using it as a research tool. Building upon definitions of points, lines and paths, John Scott demonstrates their use in clarifying such measures as density, fragmentation and centralization. He identifies the various cliques, components and circles into which networks are formed, and outlines

Social Networks And Historical Sociolinguistics

Author : Alexander Bergs
ISBN : 9783110923223
Genre : Language Arts & Disciplines
File Size : 33. 14 MB
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The book presents an analysis of selected domains of morphosyntactic variation in a 250,000 word collection of the Middle English Paston Letters (1421-1503) from a historical sociolinguistic point of view. In the three case studies, two nominal and one verbal variable are described and discussed in detail: the replacement of Old English “i>h-th-wh-take, make, give, have, do plus deverbal noun). While the study aims at a balanced integration of theories and methods from a number of different approaches in sociolinguistics, cognitive linguistics, typology, and language change, its main focus is social network theory and the role of the linguistic individual in the formation and change of language structures. Questions of individual language use and of deliberate versus unmonitored changes in the (individual) system take center stage and are discussed in the light of social network analysis. Traditional empirical social network analysis is carefully revised. Despite its many merits in present-day sociolinguistics, it often needs to be supplemented by hermeneutic-biographical analyses of the individual speakers' lives when applied to historical data. With this background, common theories and models of language change, such as grammaticalization, paradigmatic pressure, typological alignment, and generational shifts, are illustrated and evaluated from the point of view of single speakers and social groups, and their particular embedding in the speech community through various network structures. The book is of interest to advanced students and researchers in English and general linguistics, Middle English, historical linguistics and language change, corpus linguistics, as well as sociolinguistics.

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