Studying Social Networks
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Studying Social Networks
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Author : Marina Hennig
language : de
Publisher: Campus Verlag
Release Date : 2012-09-10
Studying Social Networks written by Marina Hennig and has been published by Campus Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-10 with Social Science categories.
Das Interesse an der Netzwerkanalyse nimmt rapide zu. Bisher fehlt es jedoch an empirisch orientierten Einführungen. Das interdisziplinäre Autorenteam führt daher praxisorientiert in die Grundlagen und Methoden der empirischen Analyse sozialer Netzwerke ein. Schritt für Schritt wird der Forschungsprozess von der Untersuchungsplanung über die Auswertungsmethodik bis zur Präsentation der Ergebnisse erläutert. Damit ist das Lehrbuch für den Einsatz in Lehre, Forschung und Praxis geeignet. This textbook provides an introduction to the process of empirical network research. In an action-oriented approach, it features explicated learning goals, numerous reference examples, and exercises that facilitate successful learning. Integrating their different disciplinary perspectives, the authors address an interdisciplinary audience of teachers, researchers, and practitioners alike.
Social Networks Analysis And Case Studies
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Author : Şule Gündüz-Öğüdücü
language : en
Publisher: Springer
Release Date : 2014-07-11
Social Networks Analysis And Case Studies written by Şule Gündüz-Öğüdücü and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-11 with Computers categories.
The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.
Advances In Social Network Analysis
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Author : Stanley Wasserman
language : en
Publisher: SAGE
Release Date : 1994-08-12
Advances In Social Network Analysis written by Stanley Wasserman and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-08-12 with Reference categories.
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 Networks And The Life Course
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Author : Duane F. Alwin
language : en
Publisher: Springer
Release Date : 2018-03-06
Social Networks And The Life Course written by Duane F. Alwin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Social Science categories.
This volume engages the interface between the development of human lives and social relational networks. It focuses on the integration of two subfields of sociology/social science--the life course and social networks. Research practitioners studying social networks typically focus on social structure or social organization, ignoring the complex lives of the people in those networks. At the same time, life course researchers tend to focus on individual lives without necessarily studying the contexts of social relationships in which lives are embedded and “linked” to one another through social networks. These patterns are changing and this book creates an audience of researchers who will better integrate the two subfields. It covers the role of social networks across the life span, from childhood and adolescence, to midlife, through old age.
Social Network Analysis
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Author : Xiaoming Fu
language : en
Publisher: CRC Press
Release Date : 2017-03-31
Social Network Analysis written by Xiaoming Fu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-31 with Computers categories.
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.
Understanding Social Networks
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Author : Charles Kadushin
language : en
Publisher: Oxford University Press
Release Date : 2012-01-19
Understanding Social Networks written by Charles Kadushin and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-19 with Business & Economics categories.
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.
Machine Learning Techniques For Online Social Networks
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Author : Tansel Özyer
language : en
Publisher: Springer
Release Date : 2018-12-14
Machine Learning Techniques For Online Social Networks written by Tansel Özyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Social Science categories.
The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
Sentiment Analysis In Social Networks
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Author : Federico Alberto Pozzi
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-10-06
Sentiment Analysis In Social Networks written by Federico Alberto Pozzi and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-06 with Computers categories.
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics
The Oxford Handbook Of Social Networks
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Author : Ryan Light
language : en
Publisher: Oxford University Press
Release Date : 2020-11-20
The Oxford Handbook Of Social Networks written by Ryan Light and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-20 with Social Science categories.
While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable 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.
Mixed Methods Social Network Analysis
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Author : Dominik E. Froehlich
language : en
Publisher: Routledge
Release Date : 2019-12-09
Mixed Methods Social Network Analysis written by Dominik E. Froehlich and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with Computers categories.
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.