Applied Social Network Analysis With R: Emerging Research and Opportunities
Applied Social Network Analysis With R: Emerging Research and Opportunities

Author: Gençer, Mehmet

Publisher: IGI Global

Published: 2020-02-07

Total Pages: 284

ISBN-13: 1799819140

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Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Statistical Analysis of Network Data with R
Statistical Analysis of Network Data with R

Author: Eric D. Kolaczyk

Publisher: Springer

Published: 2014-05-22

Total Pages: 214

ISBN-13: 1493909835

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Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).

Research Anthology on Applying Social Networking Strategies to Classrooms and Libraries
Research Anthology on Applying Social Networking Strategies to Classrooms and Libraries

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2022-07-08

Total Pages: 2012

ISBN-13: 1668471248

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The introduction of social media has given many communities the opportunity to connect and communicate with each other at a higher level than ever before. Many organizations, from businesses to governments, have taken advantage of this important tool to conduct research and enhance efficiency. Libraries and educational institutions have also made use of social media to enhance educational marketing, engage with learning communities, adapt educational tools, and more. The Research Anthology on Applying Social Networking Strategies to Classrooms and Libraries describes the applications, tools, and opportunities provided by the intersection of education and social media. It also considers the ways in which social media encourages learner engagement and community participation. Covering topics such as data collection, online professional learning networks, and reinforcement learning, this major reference work is a dynamic resource for pre-service teachers, teacher educators, faculty and administrators of both K-12 and higher education, librarians, archivists, government officials, researchers, and academicians.

Analyzing Social Networks Using R
Analyzing Social Networks Using R

Author: Stephen P. Borgatti

Publisher: SAGE

Published: 2022-04-21

Total Pages: 332

ISBN-13: 1529765757

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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

Analyzing Social Networks Using R
Analyzing Social Networks Using R

Author: Stephen P. Borgatti

Publisher: Sage Publications Limited

Published: 2022-05-14

Total Pages: 472

ISBN-13: 9781529722482

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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 a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks Provides a fully integrated discussion of digital data and networks like Twitter, sociolab and Amazon Offers digital resources like practice datasets and worked examples that help you get to grips with R software

Technological Innovation for Applied AI Systems
Technological Innovation for Applied AI Systems

Author: Luis M. Camarinha-Matos

Publisher: Springer Nature

Published: 2021-06-30

Total Pages: 360

ISBN-13: 3030782883

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This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.* The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually. Chapters “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” and “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Applied Social Sciences
Applied Social Sciences

Author: Cosmin Goian

Publisher: Cambridge Scholars Publishing

Published: 2014-09-18

Total Pages: 240

ISBN-13: 1443867136

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This book, Applied Social Sciences: Administration and Management, is a compelling collection of quantitative and qualitative studies in the fields of administration, right, management, and international studies related to the social sphere. Through theoretical studies and empirical research, the authors attempt to explain complex legal, administrative, management and international relations concepts. The essays focus on several themes including local and global public administration, team management, human resources, social and medical services, management of intangibles, female managers, ethnic minorities in central Europe, corporative social responsibility, the digital era, the right to development, responsibility, and crime victims of child pornography, etc. The book is an educational and empirical support for a broad variety of professionals in the socio-administrative and legal fields. Scientific knowledge is structured in order to provide an actual image of the studied concepts. However, the book is not restrictive: it is also accessible to a broader audience interested in an interdisciplinary approach to administrative, legal and management studies.

Social Network Based Big Data Analysis and Applications
Social Network Based Big Data Analysis and Applications

Author: Mehmet Kaya

Publisher: Springer

Published: 2018-05-10

Total Pages: 254

ISBN-13: 3319781960

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This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.

Inferential Network Analysis
Inferential Network Analysis

Author: Skyler J. Cranmer

Publisher: Cambridge University Press

Published: 2020-11-19

Total Pages: 317

ISBN-13: 1107158125

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