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Inferential Network Analysis
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Book Synopsis Inferential Network Analysis by : Skyler J. Cranmer
Download or read book Inferential Network Analysis written by Skyler J. Cranmer and published by Cambridge University Press. This book was released on 2020-11-19 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.
Book Synopsis Topics at the Frontier of Statistics and Network Analysis by : Eric D. Kolaczyk
Download or read book Topics at the Frontier of Statistics and Network Analysis written by Eric D. Kolaczyk and published by Cambridge University Press. This book was released on 2017-08-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This snapshot of the current frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design. Primarily for graduate students and researchers in statistics and closely related fields, emphasis is not only on what has been done, but on what remains to be done.
Book Synopsis The Sage Handbook of Social Network Analysis by : John McLevey
Download or read book The Sage Handbook of Social Network Analysis written by John McLevey and published by SAGE Publications Limited. This book was released on 2023-10-01 with total page 951 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field. Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on: · General issues such as social categories and computational social science; · Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks; · Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond. By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysis is designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area. PART 1: GENERAL ISSUES PART 2: APPLICATIONS PART 3: CONCEPTS AND METHODS
Book Synopsis Statistical Network Analysis: Models, Issues, and New Directions by : Edoardo M. Airoldi
Download or read book Statistical Network Analysis: Models, Issues, and New Directions written by Edoardo M. Airoldi and published by Springer. This book was released on 2008-04-12 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the International Workshop on Statistical Network Analysis: Models, Issues, and New Directions held in Pittsburgh, PA, USA in June 2006 as associated event of the 23rd International Conference on Machine Learning, ICML 2006. It covers probabilistic methods for network analysis, paying special attention to model design and computational issues of learning and inference.
Book Synopsis The Oxford Handbook of Political Networks by : Jennifer Nicoll Victor
Download or read book The Oxford Handbook of Political Networks written by Jennifer Nicoll Victor and published by Oxford University Press. This book was released on 2018 with total page 1011 pages. Available in PDF, EPUB and Kindle. Book excerpt: Politics is intuitively about relationships, but until recently the network perspective has not been a dominant part of the methodological paradigm that political scientists use to study politics. This volume is a foundational statement about networks in the study of politics.
Book Synopsis Network Analysis by : Craig M. Rawlings
Download or read book Network Analysis written by Craig M. Rawlings and published by Cambridge University Press. This book was released on 2023-09-30 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: For both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field).
Book Synopsis Social Network Analysis of Disaster Response, Recovery, and Adaptation by : Eric C Jones
Download or read book Social Network Analysis of Disaster Response, Recovery, and Adaptation written by Eric C Jones and published by Butterworth-Heinemann. This book was released on 2016-09-09 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analysis of Disaster Response, Recovery, and Adaptation covers systematic social network analysis and how people and institutions function in disasters, after disasters, and the ways they adapt to hazard settings. As hazards become disasters, the opportunities and constraints for maintaining a safe and secure life and livelihood become too strained for many people. Anecdotally, and through many case studies, we know that social interactions exacerbate or mitigate those strains, necessitating a concerted, intellectual effort to understand the variation in how ties within, and outside, communities respond and are affected by hazards and disasters. Examines the role of societal relationships in a disaster context, incorporating theory and case studies by experts in the field Integrates research in the areas of social network analysis and inter-organizational networks Presents a range of studies from around the world, employing different approaches to network analysis in disaster contexts
Book Synopsis Network Analysis Literacy by : Katharina A. Zweig
Download or read book Network Analysis Literacy written by Katharina A. Zweig and published by Springer Science & Business Media. This book was released on 2016-10-26 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Probabilistic Foundations of Statistical Network Analysis by : Harry Crane
Download or read book Probabilistic Foundations of Statistical Network Analysis written by Harry Crane and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major challenges of modern network analysis. Its lucid exposition provides necessary background for understanding the essential ideas behind exchangeable and dynamic network models, network sampling, and network statistics such as sparsity and power law, all of which play a central role in contemporary data science and machine learning applications. The book rewards readers with a clear and intuitive understanding of the subtle interplay between basic principles of statistical inference, empirical properties of network data, and technical concepts from probability theory. Its mathematically rigorous, yet non-technical, exposition makes the book accessible to professional data scientists, statisticians, and computer scientists as well as practitioners and researchers in substantive fields. Newcomers and non-quantitative researchers will find its conceptual approach invaluable for developing intuition about technical ideas from statistics and probability, while experts and graduate students will find the book a handy reference for a wide range of new topics, including edge exchangeability, relative exchangeability, graphon and graphex models, and graph-valued Levy process and rewiring models for dynamic networks. The authors incisive commentary supplements these core concepts, challenging the reader to push beyond the current limitations of this emerging discipline. With an approachable exposition and more than 50 open research problems and exercises with solutions, this book is ideal for advanced undergraduate and graduate students interested in modern network analysis, data science, machine learning, and statistics. Harry Crane is Associate Professor and Co-Director of the Graduate Program in Statistics and Biostatistics and an Associate Member of the Graduate Faculty in Philosophy at Rutgers University. Professor Cranes research interests cover a range of mathematical and applied topics in network science, probability theory, statistical inference, and mathematical logic. In addition to his technical work on edge and relational exchangeability, relative exchangeability, and graph-valued Markov processes, Prof. Cranes methods have been applied to domain-specific cybersecurity and counterterrorism problems at the Foreign Policy Research Institute and RANDs Project AIR FORCE.??????"--Provided by publisher.
Book Synopsis Proceedings of a Workshop on Statistics on Networks by : Scott T. Weidman
Download or read book Proceedings of a Workshop on Statistics on Networks written by Scott T. Weidman and published by National Academies Press. This book was released on 2007-10-30 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: A large number of biological, physical, and social systems contain complex networks. Knowledge about how these networks operate is critical for advancing a more general understanding of network behavior. To this end, each of these disciplines has created different kinds of statistical theory for inference on network data. To help stimulate further progress in the field of statistical inference on network data, the NRC sponsored a workshop that brought together researchers who are dealing with network data in different contexts. This book - which is available on CD only - contains the text of the 18 workshop presentations. The presentations focused on five major areas of research: network models, dynamic networks, data and measurement on networks, robustness and fragility of networks, and visualization and scalability of networks.
Book Synopsis Policy Network Ties in the Dynamic Process of Environmental Conflict Resolution by : Seunghoo Lim
Download or read book Policy Network Ties in the Dynamic Process of Environmental Conflict Resolution written by Seunghoo Lim and published by Springer Nature. This book was released on 2021-05-17 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extensive previous research has investigated environmental conflict management issues in networked settings and the design of policy networks, but the emergence and evolution of self-organizing policy networks are still not fully understood. Especially misunderstood is the problem of how the multiple motivations or incentives of competing policy actors in conflictual situations affect their structures of interaction, as this issue has not been studied systematically. This book aims to address the following research questions: how do policy stakeholders cope strategically with collective action or environmental conflict resolution? How do they utilize or maintain formal and informal policy networks to resolve problems effectively? What motivates them to engage or be involved in collaborative or conflictual networks? What influences their networking or their decisions on partner selection for conflict resolution? This book consists of four studies. The goal of the first study is to examine the form of a policy network by focusing on how policy networks emerge and evolve at the micro-level to solve collective action dilemmas endemic to decentralized and democratized policy decision-making processes, particularly in the environmental conflict resolution arena. The goal of the second study is to examine the main policy actors and structural characteristics of network governance evolution in the dynamic process of environmental conflict resolution. The goal of the third study is to highlight the role of policy tie formality in the evolution of multiplex ties in the environmental conflict resolution process. The goal of the fourth study is to demonstrate the relationships between patterns of interactions among policy actors and their modified and adjusted strategic behaviours within policy networks and across advocacy coalitions.
Book Synopsis Bayesian Inference in the Social Sciences by : Ivan Jeliazkov
Download or read book Bayesian Inference in the Social Sciences written by Ivan Jeliazkov and published by John Wiley & Sons. This book was released on 2014-11-04 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.
Book Synopsis Longitudinal Network Models by : Scott Duxbury
Download or read book Longitudinal Network Models written by Scott Duxbury and published by SAGE Publications. This book was released on 2022-12-13 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.
Book Synopsis Dynamische Prozesse der öffentlichen Kommunikation by : Philipp Müller
Download or read book Dynamische Prozesse der öffentlichen Kommunikation written by Philipp Müller and published by Herbert von Halem Verlag. This book was released on 2019-10-15 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Öffentliche Kommunikationsprozesse sind im Zeitalter der Digitalisierung von einer wachsenden Dynamik geprägt. Dies stellt die Kommunikationsforschung vor erhebliche methodische Herausforderungen. Die Methodenentwicklung steckt noch in den Kinderschuhen, wenn es darum geht, die eng getakteten und komplexen Interaktionsmuster menschlicher Akteure und technischer Strukturen der digitalen Öffentlichkeit adäquat abzubilden. Empirische Studien sind dazu gezwungen, die Komplexität der Dynamiken in der sozialen Realität zu reduzieren, um diese fassbar zu machen. Damit geht jedoch stets die Gefahr einher, entscheidende Aspekte zu übersehen. Die in diesem Band versammelten Beiträge widmen sich diesem Dilemma am Beispiel verschiedener Anwendungsfelder, von der Kommunikator- und Medieninhaltsforschung bis zur Rezeptions- und Wirkungsforschung. Die Beiträge liegen auf verschiedenen Stufen des Forschungsprozesses und befassen sich mit einer Vielzahl methodischer Ansätze wie der automatisierten Inhaltsanalyse, der Netzwerkanalyse oder der qualitativen Beobachtung. Sie eint die Suche nach innovativen Lösungen für ein gemeinsames Problem, nämlich die zunehmende Dynamik öffentlicher Kommunikationsprozesse adäquat abzubilden.
Book Synopsis Organizational Communication Theory and Research by : Vernon D. Miller
Download or read book Organizational Communication Theory and Research written by Vernon D. Miller and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-07-01 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Organizational Communication Theory and Research offers concise, but thorough reviews of important research on traditional and emerging areas in organizational communication. Section One, Theory and Methods, provides an overview of the field’s history, prominent theories, and methodologies. Section Two, Processes, focuses on primal processes, such as leadership, organizational entry, conflict, power, and inclusion. Section Three, Contexts, focuses on the settings where organizational communication occurs, including teams and workgroups, networks, and organizational structure. Section Four, Technology, considers the development and introduction of new media and intelligent technologies into organizations. The final section, Emerging Areas, addresses communication issues associated with changing environmental, social, and political upheavals, including wellness, corporate social responsibility, and crisis response. The Handbook of Organizational Communication Theory and Research covers topics of pressing interest to current scholars and practitioners, many of which have not been addressed in previous handbooks.
Book Synopsis The SAGE Handbook of Research Methods in Political Science and International Relations by : Luigi Curini
Download or read book The SAGE Handbook of Research Methods in Political Science and International Relations written by Luigi Curini and published by SAGE. This book was released on 2020-04-09 with total page 1861 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions & Designing Good Research Projects Part Two: Methods of Theoretical Argumentation Part Three: Conceptualization & Measurement Part Four: Large-Scale Data Collection & Representation Methods Part Five: Quantitative-Empirical Methods Part Six: Qualitative & "Mixed" Methods
Book Synopsis Probabilistic Inference and Statistical Methods in Network Analysis by : Olga Moreira
Download or read book Probabilistic Inference and Statistical Methods in Network Analysis written by Olga Moreira and published by Arcler Press. This book was released on 2018-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book, Probabilistic Inference and Statistical Methods in Network Analysis, is a collection of contemporary open access articles which highlight the development of computational methods for constructing social and biological networks; detecting the topological structure of a network and identifying important nodes within. This book features two classes of computational methods currently used in network analysis: (a) model-free methods based on statistical and information theory measures such as centrality, correlation, cross-correlation, and partial-correlation, mutual information, joint entropy, and transfer entropy; and (b) generative model-based methods. The intended audience of this edited book will mainly consist of researchers and graduate students in the Natural and Computer Sciences. The book is also of particular interest to scientists and engineers in areas such as machine learning, data mining, information theory computational neuroscience, and biological systems. It is suitable for readers with basic knowledge of statistical inference, differential equations, calculus, algebra, graph theory scientific modelling and computer simulation. Book jacket.
