Applied Social Network Analysis With R Emerging Research And Opportunities

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Applied Social Network Analysis With R: Emerging Research and Opportunities

Gençer, Mehmet
Applied Social Network Analysis With R Emerging Research and Opportunities Book PDF

Author : Gençer, Mehmet
Publisher : IGI Global
Page : 284 pages
File Size : 51,7 Mb
Release : 2020-02-07
Category : Computers
ISBN : 9781799819141

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Applied Social Network Analysis With R: Emerging Research and Opportunities by Gençer, Mehmet Pdf

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.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining Book PDF

Author : Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Publisher : Springer
Page : 278 pages
File Size : 40,6 Mb
Release : 2018-09-17
Category : Social Science
ISBN : 9783319941059

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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir Pdf

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Advances in Social Network Analysis

Stanley Wasserman,Joseph Galaskiewicz
Advances in Social Network Analysis Book PDF

Author : Stanley Wasserman,Joseph Galaskiewicz
Publisher : SAGE Publications
Page : 320 pages
File Size : 42,7 Mb
Release : 1994-07-27
Category : Social Science
ISBN : 9781452253916

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Advances in Social Network Analysis by Stanley Wasserman,Joseph Galaskiewicz Pdf

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.

MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities

Wu, Jiann-Ming,Tien, Chao-Yuan
MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition Emerging Research and Opportunities Book PDF

Author : Wu, Jiann-Ming,Tien, Chao-Yuan
Publisher : IGI Global
Page : 181 pages
File Size : 49,5 Mb
Release : 2020-04-17
Category : Computers
ISBN : 9781799815563

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities by Wu, Jiann-Ming,Tien, Chao-Yuan Pdf

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years, researchers have begun applying deep learning strategies to image analysis and pattern recognition for solving technical issues within image classification. As these technologies continue to advance, professionals have begun translating this intelligent programming language into mobile applications for devices. Programmers and web developers are in need of significant research on how to successfully develop pattern recognition applications using intelligent programming. MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition: Emerging Research and Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on MatConvNet deep learning. Featuring research on topics such as medical image diagnosis, convolutional neural networks, and character classification, this book is ideally designed for programmers, developers, researchers, practitioners, engineers, academicians, students, scientists, and educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.

Advanced Applications of Fractional Differential Operators to Science and Technology

Matouk, Ahmed Ezzat
Advanced Applications of Fractional Differential Operators to Science and Technology Book PDF

Author : Matouk, Ahmed Ezzat
Publisher : IGI Global
Page : 401 pages
File Size : 49,7 Mb
Release : 2020-04-24
Category : Mathematics
ISBN : 9781799831242

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Advanced Applications of Fractional Differential Operators to Science and Technology by Matouk, Ahmed Ezzat Pdf

Fractional-order calculus dates to the 19th century but has been resurrected as a prevalent research subject due to its provision of more adequate and realistic descriptions of physical aspects within the science and engineering fields. What was once a classical form of mathematics is currently being reintroduced as a new modeling technique that engineers and scientists are finding modern uses for. There is a need for research on all facets of these fractional-order systems and studies of its potential applications. Advanced Applications of Fractional Differential Operators to Science and Technology provides emerging research exploring the theoretical and practical aspects of novel fractional modeling and related dynamical behaviors as well as its applications within the fields of physical sciences and engineering. Featuring coverage on a broad range of topics such as chaotic dynamics, ecological models, and bifurcation control, this book is ideally designed for engineering professionals, mathematicians, physicists, analysts, researchers, educators, and students seeking current research on fractional calculus and other applied mathematical modeling techniques.

Machine Learning and Deep Learning in Real-Time Applications

Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan
Machine Learning and Deep Learning in Real Time Applications Book PDF

Author : Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan
Publisher : IGI Global
Page : 344 pages
File Size : 46,8 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9781799830979

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Machine Learning and Deep Learning in Real-Time Applications by Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan Pdf

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

Algorithms on Trees and Graphs

Gabriel Valiente
Algorithms on Trees and Graphs Book PDF

Author : Gabriel Valiente
Publisher : Springer Nature
Page : 392 pages
File Size : 51,8 Mb
Release : 2021-10-11
Category : Computers
ISBN : 9783030818852

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Algorithms on Trees and Graphs by Gabriel Valiente Pdf

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from computational molecular biology and computational chemistry. Centered around the fundamental issue of graph isomorphism, this text goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way. This book introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Furthermore, full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms.

Social Media Mining and Social Network Analysis: Emerging Research

Xu, Guandong
Social Media Mining and Social Network Analysis Emerging Research Book PDF

Author : Xu, Guandong
Publisher : IGI Global
Page : 347 pages
File Size : 45,8 Mb
Release : 2013-01-31
Category : Computers
ISBN : 9781466628076

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Social Media Mining and Social Network Analysis: Emerging Research by Xu, Guandong Pdf

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Doing Social Network Research

Garry Robins
Doing Social Network Research Book PDF

Author : Garry Robins
Publisher : SAGE
Page : 325 pages
File Size : 54,9 Mb
Release : 2015-01-16
Category : Social Science
ISBN : 9781473916722

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Doing Social Network Research by Garry Robins Pdf

Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you′ll find practical, ′how to′ advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers: Fundamental network concepts and theories Research questions and study design Social systems and data structures Network observation and measurement Methods for data collection Ethical issues for social network research Network visualization Methods for social network analysis Drawing conclusions from social network results This is a perfect guide for all students and researchers looking to do empirical social network research.

Analyzing Social Networks Using R

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

Author : Stephen P. Borgatti,Martin G. Everett,Jeffrey C. Johnson,Filip Agneessens
Publisher : SAGE
Page : 332 pages
File Size : 53,8 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

Computational Social Network Analysis

Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Computational Social Network Analysis Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Publisher : Springer
Page : 0 pages
File Size : 55,6 Mb
Release : 2012-03-01
Category : Computers
ISBN : 1447125320

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Computational Social Network Analysis by Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel Pdf

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Social Networks: Analysis and Case Studies

Şule Gündüz-Öğüdücü,A. Şima Etaner-Uyar
Social Networks Analysis and Case Studies Book PDF

Author : Şule Gündüz-Öğüdücü,A. Şima Etaner-Uyar
Publisher : Springer
Page : 249 pages
File Size : 46,6 Mb
Release : 2014-07-11
Category : Computers
ISBN : 9783709117972

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Social Networks: Analysis and Case Studies by Şule Gündüz-Öğüdücü,A. Şima Etaner-Uyar Pdf

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.

Network Analysis

Craig M. Rawlings,Jeffrey A. Smith,Daniel A. McFarland,James Moody
Network Analysis Book PDF

Author : Craig M. Rawlings,Jeffrey A. Smith,Daniel A. McFarland,James Moody
Publisher : Cambridge University Press
Page : 477 pages
File Size : 52,6 Mb
Release : 2023-09-30
Category : Social Science
ISBN : 9781107037786

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Network Analysis by Craig M. Rawlings,Jeffrey A. Smith,Daniel A. McFarland,James Moody Pdf

A comprehensive yet accessible introduction to the theory, methods, and application of social network analysis.

Social Network Analysis and Education

Brian V. Carolan
Social Network Analysis and Education Book PDF

Author : Brian V. Carolan
Publisher : SAGE Publications
Page : 345 pages
File Size : 51,7 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.

Statistical Analysis of Network Data with R

Eric D. Kolaczyk,Gábor Csárdi
Statistical Analysis of Network Data with R Book PDF

Author : Eric D. Kolaczyk,Gábor Csárdi
Publisher : Springer
Page : 207 pages
File Size : 41,6 Mb
Release : 2014-05-22
Category : Computers
ISBN : 9781493909834

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Statistical Analysis of Network Data with R by Eric D. Kolaczyk,Gábor Csárdi Pdf

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).