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| social network analysis methods and applications ebook: Social Network Analysis Stanley Wasserman, Katherine Faust, 1994-11-25 Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field. |
| social network analysis methods and applications ebook: Applications of Social Media and Social Network Analysis Przemysław Kazienko, Nitesh Chawla, 2015-05-28 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. |
| social network analysis methods and applications ebook: Social Network Analysis Stanley Wasserman, Katherine Faust, 1994-11-25 Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field. |
| social network analysis methods and applications ebook: Multilevel Network Analysis for the Social Sciences Emmanuel Lazega, Tom A.B. Snijders, 2015-12-16 This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable. |
| social network analysis methods and applications ebook: Social Network Analysis with Applications Ian McCulloh, Helen Armstrong, Anthony Johnson, 2013-07-01 A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject. |
| social network analysis methods and applications ebook: Advances in Social Network Analysis Stanley Wasserman, 1994-08-12 Social network analysis, a method for analyzing relationships between social entities, has expanded over the last decade as new research has been done in this area. How can these new developments be applied effectively in the behavioral and social sciences disciplines? In Advances in Social Network Analysis, a team of leading methodologists in network analysis addresses this issue. They explore such topics as ways to specify the network contents to be studied, how to select the method for representing network structures, how social network analysis has been used to study interorganizational relations via the resource dependence model, how to use a contact matrix for studying the spread of disease in epidemiology, and how cohesion and structural equivalence network theories relate to studying social influence. It also offers statistical models for social support networks. Advances in Social Network Analysis is useful for researchers involved in general research methods and qualitative methods, and who are interested in psychology and sociology. |
| social network analysis methods and applications ebook: Practical Social Network Analysis with Python Krishna Raj P.M., Ankith Mohan, K.G. Srinivasa, 2018-08-25 This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis. With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks. This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain. |
| social network analysis methods and applications ebook: Models and Methods in Social Network Analysis Peter J. Carrington, John Scott, Stanley Wasserman, 2005-02-07 Models and Methods in Social Network Analysis 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. |
| social network analysis methods and applications ebook: Handbook of Social Network Technologies and Applications Borko Furht, 2010-11-04 Social networking is a concept that has existed for a long time; however, with the explosion of the Internet, social networking has become a tool for people to connect and communicate in ways that were impossible in the past. The recent development of Web 2.0 has provided many new applications, such as Myspace, Facebook, and LinkedIn. The purpose of Handbook of Social Network Technologies and Applications is to provide comprehensive guidelines on the current and future trends in social network technologies and applications in the field of Web-based Social Networks. This handbook includes contributions from world experts in the field of social networks from both academia and private industry. A number of crucial topics are covered including Web and software technologies and communication technologies for social networks. Web-mining techniques, visualization techniques, intelligent social networks, Semantic Web, and many other topics are covered. Standards for social networks, case studies, and a variety of applications are covered as well. |
| social network analysis methods and applications ebook: Web Mining and Social Networking Guandong Xu, Yanchun Zhang, Lin Li, 2010-10-20 This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis. |
| social network analysis methods and applications ebook: Network Analysis Literacy Katharina A. Zweig, 2016-10-26 This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these applications offer such a wealth of network analytic methods that it can be overwhelming for someone just entering this field. This book provides a road map through this jungle of network analytic methods, offers advice on how to pick the best method for a given network analytic project, and how to avoid common pitfalls. It introduces the methods which are most often used to analyze complex networks, e.g., different global network measures, types of random graph models, centrality indices, and networks motifs. In addition to introducing these methods, the central focus is on network analysis literacy – the competence to decide when to use which of these methods for which type of question. Furthermore, the book intends to increase the reader's competence to read original literature on network analysis by providing a glossary and intensive translation of formal notation and mathematical symbols in everyday speech. Different aspects of network analysis literacy – understanding formal definitions, programming tasks, or the analysis of structural measures and their interpretation – are deepened in various exercises with provided solutions. This text is an excellent, if not the best starting point for all scientists who want to harness the power of network analysis for their field of expertise. |
| social network analysis methods and applications ebook: Semantic Network Analysis in Social Sciences Elad Segev, 2021-11-29 Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from around the world that apply this method to explore news, political speeches, social media content, and even to organize interview transcripts and literature reviews. Aimed at scholars with no previous knowledge in the field, this book can be used as a main or a supplementary textbook for general courses on research methods or network analysis courses, as well as a starting point to conduct your own content analysis of large texts. |
| social network analysis methods and applications ebook: Social Network Analytics Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira S. Ashour, 2018-11-16 Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. - Examines a variety of data analytic techniques that can be applied to social networks - Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change - Covers the most recent research on social network analysis and includes applications to a number of domains |
| social network analysis methods and applications ebook: Social Network Analysis Xiaoming Fu, Jar-Der Luo, Margarete Boos, 2017-03-31 The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies. |
| social network analysis methods and applications ebook: Social Network Analysis for Startups Maksim Tsvetovat, Alexander Kouznetsov, 2011-10-06 Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook |
| social network analysis methods and applications ebook: Mixed Methods Social Network Analysis Dominik E. Froehlich, Martin Rehm, Bart C. Rienties, 2019-12-09 Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation. This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on Why should we do MMSNA?, providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question How do I do MMSNA?, illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars. |
| social network analysis methods and applications ebook: Social Network Analysis Christina Prell, 2011-10-26 We live in a world that is paradoxically both small and vast; each of us is embedded in local communities and yet we are only a few ′links′ away from anyone else in the world. This engaging book represents these interdependencies′ positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form. This is a book for the social network novice learning how to study, think about and analyse social networks; the intermediate user, not yet familiar with some of the newer developments in the field; and the teacher looking for a range of exercises, as well as an up-to-date historical account of the field. It is divided into three clear sections: 1. historical & Background Concepts 2. Levels of Analysis 3. Advances, Extensions and Conclusions The book provides a full overview of the field - historical origins, common theoretical perspectives and frameworks; traditional and current analytical procedures and fundamental mathematical equations needed to get a foothold in the field. |
| social network analysis methods and applications ebook: Understanding Social Networks Charles Kadushin, 2012-01-04 Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity. |
| social network analysis methods and applications ebook: Network Analysis in Marine Ecology F. Wulff, J.G. Field, K.H. Mann, 2012-12-06 This book arises from a workshop on the application of network analysis to ecological flow networks. The purpose is to develop a new tool for comparison of ecosystems, paying particular attention to marine ecosystems. After a review of the methods and theory, data from a variety of marine habitats are analyzed and compared. Readers are shown how to calculate such properties as cycling index, average path length, flow diversity, indices of ecosystem growth and development and the origins and fates of particular flows. This is a highly original contribution to the growing field of ecosystem theory, in which attention is paid to the properties of the total, functioning ecosystem, rather than to the properties of individual organisms. New insights are provided into the workings of marine systems. |
| social network analysis methods and applications ebook: Trends in Social Network Analysis Rokia Missaoui, Talel Abdessalem, Matthieu Latapy, 2017-04-29 The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field. |
| social network analysis methods and applications ebook: Knowledge Solutions Olivier Serrat, 2017-05-22 This book is open access under a CC BY-NC 3.0 IGO license. This book comprehensively covers topics in knowledge management and competence in strategy development, management techniques, collaboration mechanisms, knowledge sharing and learning, as well as knowledge capture and storage. Presented in accessible “chunks,” it includes more than 120 topics that are essential to high-performance organizations. The extensive use of quotes by respected experts juxtaposed with relevant research to counterpoint or lend weight to key concepts; “cheat sheets” that simplify access and reference to individual articles; as well as the grouping of many of these topics under recurrent themes make this book unique. In addition, it provides scalable tried-and-tested tools, method and approaches for improved organizational effectiveness. The research included is particularly useful to knowledge workers engaged in executive leadership; research, analysis and advice; and corporate management and administration. It is a valuable resource for those working in the public, private and third sectors, both in industrialized and developing countries. |
| social network analysis methods and applications ebook: Network Analysis Ulrik Brandes, Thomas Erlebach, 2005-02-02 ‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas. |
| social network analysis methods and applications ebook: Mixed Methods Social Networks Research Silvia Domínguez, Betina Hollstein, 2014-06-30 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-methods 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. |
| social network analysis methods and applications ebook: Graph Theoretic Methods in Multiagent Networks Mehran Mesbahi, Magnus Egerstedt, 2010-07-01 This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: ? University of Stuttgart, Germany Royal Institute of Technology, Sweden Johannes Kepler University, Austria Georgia Tech, USA University of Washington, USA Ohio University, USA |
| social network analysis methods and applications ebook: Dynamic Social Network Modeling and Analysis National Research Council, Division of Behavioral and Social Sciences and Education, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Human Factors, 2003-08-01 In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions †Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds †each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session. |
| social network analysis methods and applications ebook: Cross-Cultural Analysis Eldad Davidov, Peter Schmidt, Jaak Billiet, 2012-10-12 Intended to bridge the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents the latest strategies for analyzing cross-cultural data. Techniques are demonstrated through the use of applications that employ cross national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationally–prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods presented in the book. Syntax and graphical and verbal explanations of the techniques are included. A website features some of the data sets and syntax commands used in the book. Applications from the behavioral and social sciences that use real data-sets demonstrate: The use of samples from 17 countries to validate the resistance to change scale across these nations How to test the cross-national invariance properties of social trust The interplay between social structure, religiosity, values, and social attitudes A comparison of anti-immigrant attitudes and patterns of religious orientations across European countries. The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis and multiple-group structural equation modeling; multi-level analysis; latent class analysis; and item-response theory. Since researchers from various disciplines often use different methodological approaches, a consistent framework for describing and applying each method is used so as to cross ‘methodological borders’ between disciplines. Some chapters describe the basic strategy and how it relates to other techniques presented in the book, others apply the techniques and address specific research questions, and a few combine the two. A table in the preface highlights for each chapter: a description of the contents, the statistical methods used, the goal(s) of the analysis, and the data set employed. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to researchers and students in: psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis. |
| social network analysis methods and applications ebook: Inferential Network Analysis Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan, 2020-11-19 Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis. |
| social network analysis methods and applications ebook: Computational Network Analysis with R Matthias Dehmer, Yongtang Shi, Frank Emmert-Streib, 2016-12-12 This new title in the well-established Quantitative Network Biology series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis. |
| social network analysis methods and applications ebook: Analyzing the Social Web Jennifer Golbeck, 2013 Introduces a framework and techniques for the analysis and application of public data being generated by social networks and 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. |
| social network analysis methods and applications ebook: Sequence Analysis and Related Approaches Matthias Studer, Gilbert Ritschard, 2020-10-08 This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.; Provides new perspectives and methods for sequence analysis Focusses on the link between sequence analysis and other methods for longitudinal data, especially event history analysis and Markov models Stresses the complementarity of sequence analysis and other models for longitudinal data Applications of sequence analysis in a whole range of different domains This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors. |
| social network analysis methods and applications ebook: Social Network Analysis Song Yang, Franziska B. Keller, Lu Zheng, 2016-12-02 Social Network Analysis: Methods and Examples by Song Yang, Franziska B. Keller, and Lu Zheng prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies. |
| social network analysis methods and applications ebook: Social Science Research Anol Bhattacherjee, 2012-03-16 This book is designed to introduce doctoral and graduate students to the process of scientific research in the social sciences, business, education, public health, and related disciplines. |
| social network analysis methods and applications ebook: Data Analytics for the Social Sciences G. DAVID. GARSON, 2021-11-30 This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses. |
| social network analysis methods and applications ebook: Network Analysis and Tourism Noel Scott, Rodolfo Baggio, Chris Cooper, 2008 This book provides a comprehensive review of the contribution of network analysis to the understanding of tourism destinations and organizations. It discusses both the theoretical and methodological underpinnings of network analysis and then illustrates the relevance of this approach in a series of tourism applications. |
| social network analysis methods and applications ebook: Encyclopedia of Social Network Analysis and Mining , 2014 |
| social network analysis methods and applications ebook: Ebook: Sociological Theory George Ritzer, Jeff Stepnisky, 2014-10-16 The ninth edition of Sociological Theory by George Ritzer gives readers a comprehensive overview of the major theorists and schools of sociological thought. Key theories are integrated with biographical sketches of theorists, and are placed in their historical and intellectual context. Written by one of the foremost authorities on sociological theory, this text helps students better understand the original works of classical and modern theorists, and enables them to compare and contrast the latest substantive concepts. |
| social network analysis methods and applications ebook: Network Analysis Craig M. Rawlings, Jeffrey A. Smith, Daniel A. McFarland, James Moody, 2023-10-05 A comprehensive yet accessible introduction to the theory, methods, and application of social network analysis. |
| social network analysis methods and applications ebook: Social Network Analysis in Action Song Yang, 2024-08-12 This book offers a balanced view between a basic introduction of Social Network Analysis (SNA) in its methods and application, and advanced topics of data mining techniques and the subsequent SNA analyses. The book stands out as uniquely important contribution to the SNA field because it moves beyond the stage of basic SNA methods. It describes data mining techniques, introducing an online discourse collection platform, ICAS, which is developed by an interdisciplinary team involving Sociologists and Computer Engineer teams with supports of NSF funds. Targeted audiences of this book are students and scholars interested in using SNA techniques to advance their analytics of their respective research areas. This book provides particular utilities to students at the beginner stage of learning SNA basics, and those in their intermediary careers looking to advance their knowledges of what SNA has to offer. The unique features of this book lie in its descriptions of data mining techniques, data processing, and data analytics. The discussions of an online discourse network platform and data processing capabilities present tremendous benefits to those who aspire to mine the massive data of online social networking. |
| social network analysis methods and applications ebook: Social Network Analysis: Methods and Applications Stanley Wasserman, 1994 This reference serves as a guide to theory and applications of network methods. Divided into six parts, the book features mathematical representations, structural properties, and statistical models of social networks. Includes an appendix of computer programs used in social network analysis. |
| social network analysis methods and applications ebook: Digital Research Methods for Translation Studies Julie McDonough Dolmaya, 2023-12-22 Digital Research Methods for Translation Studies introduces digital humanities methods and tools to translation studies. This accessible book covers computer-assisted approaches to data collection, data analysis, and data visualization and presentation, offering authentic examples of these approaches in both translation studies research and projects from related fields. With a diverse range of examples featuring various contexts and language combinations to ensure relevance to a wide readership, this volume covers the strengths and limitations of computer-assisted research methods, as well as the ethical challenges specific to this kind of research. This is an essential text for advanced undergraduate and graduate translation studies students, as well as researchers looking to adopt new research methods. |
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We are here to provide you with a central place to find all the information you need to know before you visit the Social Security office in Portsmouth, VA to make sure you have a successful visit.
Home - Oasis Social Ministry
Oasis Social Ministry provides support to homeless and marginalized people, primarily in Portsmouth, VA, and surrounding areas. We provide a number of services, including a …
Contact Social Security | SSA
You can use our online services to apply for benefits, check the status of your claim or appeal, request a replacement Social Security card (in many areas), get an instant benefit verification …
Portsmouth Social Service Department - Portsmouth, VA ...
Looking for Portsmouth Social Service Department health, social & welfare programs? Quickly find Social Services phone number, directions & services (Portsmouth, VA).
City of Portsmouth Social Services Department
City of Portsmouth Social Services Department located at 1701 High St #101, Portsmouth, VA 23704 - reviews, ratings, hours, phone number, directions, and more.
Portsmouth Social Security Office - 3305 Airline Blvd ...
The Portsmouth Social Security Office is located in Portsmouth with zip code of 23701. You will find the details for this SSA branch with the hours of operation, phone numbers, address and …
Administrative Office - VirginiaNavigator
The Portsmouth Department of Social Services (PDSS) provides programs and services that promote self-reliance and protection through the provision of community-based services and …
Assistance - Virginia Department of Social Services
The Virginia Department of Social Services develops and administers programs that provide timely and accurate income support benefits and employment services to families and …
Social Services - Portsmouth, VA
The Portsmouth Department of Social Services touches the lives of our Citizens by providing quality services that address the health and welfare needs of the community; while promoting …
Home - Virginia Department of Social Services
We proudly serve alongside nearly 13,000 state and local human services professionals throughout the Social Services System, who ensure that thousands of Virginia's most …
Portsmouth Social Security Office 3305 Airline Blvd ...
We are here to provide you with a central place to find all the information you need to know before you visit the Social Security office in Portsmouth, VA to make sure you have a successful visit.
Home - Oasis Social Ministry
Oasis Social Ministry provides support to homeless and marginalized people, primarily in Portsmouth, VA, and surrounding areas. We provide a number of services, including a …
Contact Social Security | SSA
You can use our online services to apply for benefits, check the status of your claim or appeal, request a replacement Social Security card (in many areas), get an instant benefit verification …
Portsmouth Social Service Department - Portsmouth, VA ...
Looking for Portsmouth Social Service Department health, social & welfare programs? Quickly find Social Services phone number, directions & services (Portsmouth, VA).
City of Portsmouth Social Services Department
City of Portsmouth Social Services Department located at 1701 High St #101, Portsmouth, VA 23704 - reviews, ratings, hours, phone number, directions, and more.
Portsmouth Social Security Office - 3305 Airline Blvd ...
The Portsmouth Social Security Office is located in Portsmouth with zip code of 23701. You will find the details for this SSA branch with the hours of operation, phone numbers, address and …
Administrative Office - VirginiaNavigator
The Portsmouth Department of Social Services (PDSS) provides programs and services that promote self-reliance and protection through the provision of community-based services and …
Assistance - Virginia Department of Social Services
The Virginia Department of Social Services develops and administers programs that provide timely and accurate income support benefits and employment services to families and …
