Pseudolikelihood Estimation, Markov Graphs and Social Networks PDF Download

Author: Michael Miyoshi Ikeda
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 234

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Book Description

Author: Peter J. Carrington
Publisher: Cambridge University Press
ISBN: 9781139443432
Category : Social Science
Languages : en
Pages : 354

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Book Description
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.

Author: Anna Goldenberg
Publisher: Now Publishers Inc
ISBN: 1601983204
Category : Computers
Languages : en
Pages : 118

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Book Description
Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.

Author: Skyler J. Cranmer
Publisher: Cambridge University Press
ISBN: 1107158125
Category : Business & Economics
Languages : en
Pages : 317

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Book Description
Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.

Author: Dean Lusher
Publisher: Cambridge University Press
ISBN: 0521193567
Category : Business & Economics
Languages : en
Pages : 361

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Book Description
This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

Author: Ryan Light
Publisher: Oxford University Press, USA
ISBN: 019025176X
Category : Psychology
Languages : en
Pages : 697

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Book Description
The Oxford Handbook of Social Networks gathers forty leading scholars in social networks who link the distinct practices of social network scholars in the social sciences. Each chapter provides a succinct background to, and future directions for, distinctive approaches to analyzing social networks--theoretical, methodological, or substantive. The Handbook serves as a resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.

Author: John Scott
Publisher: SAGE Publications
ISBN: 1847873952
Category : Social Science
Languages : en
Pages : 641

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Book Description
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.

Author: Giancarlo Ragozini
Publisher: Springer Nature
ISBN: 3030314634
Category : Computers
Languages : en
Pages : 245

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Book Description
The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.

Author: Edoardo M. Airoldi
Publisher: Springer
ISBN: 3540731334
Category : Computers
Languages : en
Pages : 204

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Book Description
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.

Author: George A. Barnett
Publisher: SAGE
ISBN: 1412979110
Category : Language Arts & Disciplines
Languages : en
Pages : 1113

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Book Description
This handbook systematically introduces readers to the key concepts, substantive topics, central methods and prime debates.