Models And Methods In Social Network Analysis

Author : Peter J. Carrington,John Scott,Stanley Wasserman
Publisher : Cambridge University Press
Page : 354 pages
File Size : 43,7 Mb
Release : 2005-02-07
Category : Social Science
ISBN : 1139443437

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Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Author : Peter J. Carrington,John Scott,Stanley Wasserman
Publisher : Unknown
Page : 328 pages
File Size : 48,7 Mb
Release : 2005-02-07
Category : Psychology
ISBN : 0521809592

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Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf

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.

Author : Thomas W. Valente
Publisher : Oxford University Press
Page : 296 pages
File Size : 43,7 Mb
Release : 2010-03-25
Category : Medical
ISBN : 9780199885299

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Social Networks and Health by Thomas W. Valente Pdf

Relationships and the pattern of relationships have a large and varied influence on both individual and group action. The fundamental distinction of social network analysis research is that relationships are of paramount importance in explaining behavior. Because of this, social network analysis offers many exciting tools and techniques for research and practice in a wide variety of medical and public health situations including organizational improvements, understanding risk behaviors, coordinating coalitions, and the delivery of health care services. This book provides an introduction to the major theories, methods, models, and findings of social network analysis research and application. In three sections, it presents a comprehensive overview of the topic; first in a survey of its historical and theoretical foundations, then in practical descriptions of the variety of methods currently in use, and finally in a discussion of its specific applications for behavior change in a public health context. Throughout, the text has been kept clear, concise, and comprehensible, with short mathematical formulas for some key indicators or concepts. Researchers and students alike will find it an invaluable resource for understanding and implementing social network analysis in their own practice.

Author : Mohammad A. Tayebi,Uwe Glässer
Publisher : Springer
Page : 133 pages
File Size : 46,6 Mb
Release : 2016-10-11
Category : Computers
ISBN : 9783319414928

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Social Network Analysis in Predictive Policing by Mohammad A. Tayebi,Uwe Glässer Pdf

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.

Author : Linton C. Freeman,Douglas R. White,Antone Kimball Romney
Publisher : Transaction Publishers
Page : 306 pages
File Size : 44,7 Mb
Release : 1992
Category : Social Science
ISBN : 1560005696

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Research Methods in Social Network Analysis by Linton C. Freeman,Douglas R. White,Antone Kimball Romney Pdf

Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. However, writers in this tradition do not always provide the sorts of formal definitons and propositions that are the building blocks of modern social research. In its broad-ranging examination of the kind of data that form the basis for the systematic study of social structure, Research Methods in Social Network Analysis marks a significant methodological advance in network studies. As used in this volume, social structure refers to a bundle of intuitive natural language ideas and concepts about patterning in social relationships among people. In contrast, social networks is used to refer to a collection of precise analytic and methodological concepts and procedures that facilitate the collection of data and the systematic study of such patterning. Accordingly, the book's five sections are arranged to address analytical problems in a series of logically ordered stages or processes. The major contributors define the fundamental modes by which social structural phenomena are to be represented; how boundaries to a social structure are set; how the relations of a network are measured in terms of structure and content; the ways in which the relational structure of a network affects system actors; and how actors within a social network are clustered into cliques or groups. The chapters in the last section build on solutions to problems proposed in the previous sections. This highly unified approach to research design combined with a representative diversity of viewpoints makes Research Methods in Social Network Analysis a state-of-the-art volume.

Author : Suraj Bandyopadhyay,A R. Rao,Bikas Kumar Sinha,Bikas K. Sinha
Publisher : SAGE
Page : 257 pages
File Size : 49,6 Mb
Release : 2011
Category : Social Science
ISBN : 9781412941686

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Models for Social Networks With Statistical Applications by Suraj Bandyopadhyay,A R. Rao,Bikas Kumar Sinha,Bikas K. Sinha Pdf

The study of social networks is a new but fast widening multidisciplinary area involving social, mathematical, statistical and computer sciences for application in diverse social environments; in the latter sciences, and specially for the field of Economics. It has its own parameters and methodological tools. In 'Models for Social Networks with Statistical Applications', the authors show how graph-theoretic and statistical techniques can be used to study some important parameters of global social networks and illustrate their use in social science studies with some examples in real life survey data.

Author : Peter J. Carrington,John Scott,Stanley Wasserman
Publisher : Unknown
Page : 328 pages
File Size : 50,6 Mb
Release : 2009
Category : Electronic
ISBN : OCLC:851325213

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Models and Methods in Social Network Analysis by Peter J. Carrington,John Scott,Stanley Wasserman Pdf

Author : J. Antonio R. Ostoic
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 51,6 Mb
Release : 2021-02-01
Category : Mathematics
ISBN : 9781119250388

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Algebraic Analysis of Social Networks by J. Antonio R. Ostoic Pdf

Presented in a comprehensive manner, this book provides a comprehensive foundation in algebraic approaches for the analysis of different types of social networks such as multiple, signed, and affiliation networks. The study of such configurations corresponds to the structural analysis within the social sciences, and the methods applied for the analysis are in the areas of abstract algebra, combinatorics, and graph theory. Current research in social networks has moved toward the examination of more realistic but also more complex social relations by which agents or actors are connected in multiple ways. Addressing this trend, this book offers hands-on training of the algebraic procedures presented along with the computer package multiplex, written by the book’s author specifically to perform analyses of multiple social networks. An introductory section on both complex networks and for R will feature, however the subjects themselves correspond to advanced courses on social network analysis with the specialization on algebraic models and methods.

Author : Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 41,9 Mb
Release : 2022-04-28
Category : Technology & Engineering
ISBN : 9781119836735

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Social Network Analysis by Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty Pdf

SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.

Author : Brian V. Carolan
Publisher : SAGE Publications
Page : 345 pages
File Size : 49,6 Mb
Release : 2013-03-14
Category : Social Science
ISBN : 9781483303512

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Social Network Analysis and Education by Brian V. Carolan Pdf

Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

Author : Brea L. Perry,Bernice A. Pescosolido,Stephen P. Borgatti
Publisher : Structural Analysis in the Soc
Page : 371 pages
File Size : 53,6 Mb
Release : 2018-03-22
Category : Political Science
ISBN : 9781107131439

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Egocentric Network Analysis by Brea L. Perry,Bernice A. Pescosolido,Stephen P. Borgatti Pdf

An in-depth, comprehensive and practical guide to egocentric network analysis, focusing on fundamental theoretical, research design, and analytic issues.

Author : Skyler J. Cranmer,Bruce A. Desmarais,Jason W. Morgan
Publisher : Cambridge University Press
Page : 317 pages
File Size : 53,7 Mb
Release : 2020-11-19
Category : Business & Economics
ISBN : 9781107158122

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Inferential Network Analysis by Skyler J. Cranmer,Bruce A. Desmarais,Jason W. Morgan Pdf

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

Author : Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens
Publisher : SAGE
Page : 332 pages
File Size : 47,8 Mb
Release : 2022-04-21
Category : Social Science
ISBN : 9781529765755

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Analyzing Social Networks Using R by Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens Pdf

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: • Discusses measures and techniques for analyzing social network data, including digital media • Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks • Offers digital resources like practice datasets and worked examples that help you get to grips with R software

Author : Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa
Publisher : Springer
Page : 329 pages
File Size : 51,5 Mb
Release : 2018-08-25
Category : Computers
ISBN : 9783319967462

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Practical Social Network Analysis with Python by Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa Pdf

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.

Author : Christina Prell
Publisher : SAGE
Page : 274 pages
File Size : 51,5 Mb
Release : 2011-10-26
Category : Social Science
ISBN : 9781446290132

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Social Network Analysis by Christina Prell Pdf

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. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.